9 min read

Abundance Insider: November 23rd, 2019

By Peter H. Diamandis on Nov 23, 2019

In this week's Abundance Insider: Heliogen's concentrated solar power breakthrough, AI bots inventing new tools, and Lenovo's use of VR as an anesthesia alternative.

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Lenovo pilots VR as an alternative to general anesthesia for kids.

What it is: As doctors realize the immense potential of VR in medical training, practitioners are now exploring equally profound medical applications of VR, namely its use for distraction of patients during surgical procedures. In partnership with the Starlight Children’s Foundation and (mobile device management provider) SOTI, Lenovo is now testing VR headsets as an alternative to general anesthetics for kids. Using largely off-the-shelf headgear and software—Lenovo Mirage Solo headsets and games curated by Starlight—participating hospitals, such as Children’s Hospital Colorado, have already seen impressive results. Whether in alleviating panic, pain, or similar side effects, the VR distraction aid has proved successful in everything from lumbar punctures and dressing of damaged limbs to endoscopies when combined with a local anesthetic.

Why it’s important: While virtual reality’s use cases in entertainment and even education are fairly obvious, a slew of niche applications across medicine are only now beginning to surface. Particularly as VR grows ever more hyper-realistic, thanks to surging bandwidth and resolution, resulting virtual experience products will soon be capable of addressing immersive distraction (in medical and other contexts) and even potentially long-term pain relief in adults.

Lab-grown meat gains muscle as it moves from petri dish to dinner plate.

What it is: A Harvard research team has now created lab-grown rabbit and cow muscle cells that resemble the texture and consistency of their animal counterparts. By applying regenerative medicine to food, the team at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) created an edible gelatin scaffold that could transform the scalability of lab-grown meat. Animal meat is primarily composed of skeletal muscle fibers that must adhere to a structure to grow. The team decided to create this structure out of gelatin using immersion Rotary Jet-Spinning (iRJS), which uses centrifugal force to spin long nanofibers of specific shapes and sizes. The gelatin fibers resemble the extracellular matrix and promote muscle cell growth. Eventually, the team hopes to design meats with defined textures, tastes, and nutritional profiles— all at an affordable price.

Why it’s important: Livestock contributes 14.5% of total greenhouse gas emissions worldwide. Yet the global market for meat is worth upwards of US$1.8 trillion. One third of human-consumed calories come from meat products, and the average American today eats 220 pounds of red meat and poultry each year (up from 167 pounds in 1990). To curb the detrimental environmental damage associated with these consumption habits, we need an alternative that tastes just as good. While many lab-grown meat companies have mastered texture, issues of price and scale still hinder widespread adoption of their products. The SEAS team’s gelatin scaffold technology could solve both challenges, as it allows muscle cells to quickly grow and can be ingested alongside meat. Now increasingly price-competitive, numerous lab-grown products, like Clara’s egg substitute and Memphis Meats’ meatballs, will soon begin to undercut plant-based products on the market today. But beyond economics, a host of new food tech advancements are allowing us to customize nutritional content, flavor profiles, and texture.

Bill Gates-backed solar startup announces major breakthrough.

What it is: Bill Gates-backed startup Heliogen recently unveiled its solar concentration technology, one expected to “commercially replace fuels with carbon-free, ultra-high temperature heat from the sun.” Founder Bill Gross (who also founded Idealab) has been working on the company in his very own incubator, alongside numerous other clean energy startups. The first of its kind, Heliogen’s system consists of a computer vision software that coordinates a large array of mirrors to reflect sunlight at a single target, which can then supply up to 1,000 degrees C of heat. This extreme amount of heat is necessary for industrial processes like those used to make cement, steel, and other materials, the production of which contributes to one-fifth of global fossil fuel emissions, according to Bill Gates. If companies purchase Heliogen’s system outright, however, Gross claims the technology could pay for itself within 2-3 years, reducing firms’ fossil fuel emissions by up to 60%.

Why it’s important: Electricity accounts for less than a quarter of global energy demand. Heliogen’s technology addresses a large chunk of the remaining 75% by providing an alternative energy supply for large industrial needs. Sunshine is a free commodity, and this simple fact offers a tremendous economic incentive for businesses to invest in effective concentrated solar power. Although our individual daily energy decisions impact the environment, large corporations can stand to both gain from and contribute to the shared pursuit of a zero-emissions future. While most heavy industry players rely solely on fossil fuels to achieve high temperatures, systems like that of Heliogen could provide long-term energy alternatives, capitalizing on an essentially free asset: the Sun.

Playing Hide-and-Seek, Machines Invent New Tools.

What it is: Programming researchers at OpenAI recently taught a group of AI bots to play hide-and-seek, unleashing them in teams of up to three agents on hundreds of millions of back-to-back games. While the AI hiders and seekers began with a clean slate and no play instructions, they soon learned to chase and hide, build fortifications (at about the 25 million-game mark), and even uncover unexpected uses of unusual tools. Engaged in a cat-and-mouse battle, OpenAI’s bots gradually learned increasingly complex attack and defense strategies. After nearly 390 million games, for instance, seeker bots learned to use virtual boxes to “surf” around the arena and gain visibility— a strategy quickly stymied by hiders, which learned to lock these boxes and prevent surfing after about 458 million games.

Why it’s important: The rapid progression of OpenAI bots’ game-playing strategies over millions of iterations, yielding advantageous traits, has been likened by some to the evolution of human intelligence. Yet more importantly, OpenAI’s algorithms demonstrated the remarkable ability to identify creative uses for undefined tools, paving the way for AIs that might soon solve far more complex strategy-related problems in unstructured contexts. According to Danny Lange, VP of AI at Unity Technologies (a game engine company), “There’s nothing here that prevents this from [...] going on a path where tool usage gets more and more complex.” Such complex tool usage (a hallmark of human intelligence) appears to be further spurred on by AI game play, as competitive environments prompt algorithms to learn from and circumvent their own mistakes over time.

Quantum computers learn to mark their own work.

What it is: Researchers at the University of Warwick have now devised a method to check answers output by a quantum computer. By using problems for which answers are already known, the team is able to quantify the effect of noise within the computer, creating two percentage metrics for determining accuracy. The first metric is an estimate of how close the quantum computer’s answer is to the real answer, while the second is a confidence score of that closeness. In this way, quantum computer engineers can further refine the machines, identifying sources of error and paving the way for future applications.

Why it’s important: By definition, quantum computers are designed for problems that would take classical computers an exponential amount of time to solve. Thus, in the past, researchers required exorbitant classical computing resources to error-check their answers—a task that quickly becomes infeasible in the case of applications designed for quantum computers. Yet with the researchers’ newly developed protocol, quantum computing systems can check themselves, independent of large servers, and thereby provide far more utility.

South Australia household batteries keeps lights on in Queensland after coal unit fails.

Story contributed by Tom Connor.

What it is: Last month, after a large power plant suddenly went offline in Queensland, Australia, an unlikely renewable contender came to the rescue. A distributed solar and battery project, the South Australia Virtual Power Plant (VPP)—led by US Battery and Tesla—aggregates stored solar resources from hundreds of homes with rooftop photovoltaic power stations (or rooftop PV). On October 9th, when the coal-fired Kogan Creek power station in Queensland tripped, reducing supply by 784 MW and putting the grid at risk, the VPP had a chance to prove its utility. Detecting the drop in frequency, the VPP immediately injected power from its 900+ systems back into the grid, helping to stabilize the system.

Why it’s important: Kogan Creek is the largest single power plant in Australia, so a distributed renewable energy network’s ability to immediately step in has drawn significant praise throughout the country and beyond. Today, energy storage is a key limiting reagent in our efforts to popularize renewable sources, critical to buffering the variability of solar and wind. Demonstrated successes in distributed storage at grid scale could thereby have a considerable impact on widespread adoption of solar and microgrid technologies, particularly in the case of residential rooftop solar PV systems.

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Abundance 360 is a curated global community of 360 entrepreneurs, executives, and investors committed to understanding and leveraging exponential technologies to transform their businesses. A 3-day mastermind at the start of each year gives members information, insights and implementation tools to learn what technologies are going from deceptive to disruptive and are converging to create new business opportunities. To learn more and apply, visit A360.com

Abundance Digital, a Singularity University program, is an online educational portal and community of abundance-minded entrepreneurs. You’ll find weekly video updates from Peter, a curated news feed of exponential news, and a place to share your bold ideas. Click here to learn more and sign up.

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Topics: Abundance Insider Energy AI Longevity machine learning Artificial Intellegence Drones Batteries Autonomous Drones IoT solar solar energy internet of things aging drone technology solar power energy storage energy abundance future of energy genetic engineering brain genome sequencing water battery Alzheimer's dementia neuroscience optimization Apple Yeezy
8 min read

Abundance Insider: November 16th, 2019

By Peter H. Diamandis on Nov 16, 2019

In this week's Abundance Insider: Memory-mapping neurons, FAA-approved ‘blind’ drone flights, and Fukushima’s renewable energy future.

P.S. Send any tips to our team by clicking here, and send your friends and family to this link to subscribe to Abundance Insider.

P.P.S. Want to learn more about exponential technologies and home in on your MTP/ Moonshot? Abundance Digital, a Singularity University Program, includes 100+ hours of coursework and video archives for entrepreneurs like you. Keep up to date on exponential news and get feedback on your boldest ideas from an experienced, supportive community. Click here to learn more and sign up.

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Japan is reinventing Fukushima as a renewable energy hub.

What it is: Japan is now working to revamp the Fukushima nuclear meltdown zone to once again produce electricity, but this time using solar and wind power. Thanks to a loan from the state-run Development Bank of Japan and the Mizuho Bank, the region will soon produce about 600 megawatts of electricity, courtesy of 11 new solar plants and 10 new wind farms. With expected completion in March of 2024 at a cost of $2.7 billion, the power plants are predicted to generate enough power for about 114,000 average American homes.

Why it’s important: Nearly 43,000 Japanese citizens remain displaced by the Fukushima disaster, while about 143 square miles of the prefecture stand in a permanent evacuation zone. Yet Japan now seeks to capitalize on this seeming “dead zone,” leveraging the expanse of uninhabitable land to power residential regions. Contributing to the prefecture’s goal of achieving 100 percent renewable energy-derived power by 2040, this power infrastructure will help pave the way for similar initiatives worldwide.

Drone company Iris Automation makes first-of-its-kind FAA-approved ‘blind’ drone flight.

What it is: In partnership with the Kansas Department of Transportation, drone startup Iris Automation has successfully completed the first FAA-approved BVLOS (“beyond the visual line of sight”) drone flight. Until now, the FAA and most other jurisdictions have required human observers and on-ground radar systems for testing of new services, costing companies up to $50 million and thereby hindering development of viable drone services. Yet with newfound FAA approval, Iris Automation utilized solely onboard detect-and-avoid systems. The flight follows the company’s successful test run in Alaska earlier this year, wherein its autonomous systems beat out human-operated drones 95 percent of the time in avoiding head-on collisions with other vehicles.

Why it’s important: We’re now seeing a massive surge in the development rate and approval of autonomous drone use for delivery of critical supplies and commerce. Meanwhile, numerous regulatory agencies—including state-level government departments in even technologically lagging regions—continue to define and refine the right guidelines of operation. As the immediacy of retail interactions, aid delivery, and small-scale cargo transit continues to skyrocket, expect the proliferation of drone manufacturers, complex sensors, and AI navigation software systems.

Specific neurons that map memories have now been identified in the human brain.

What it is: Scientists at Columbia University have found the first-ever evidence that individual neurons target specific memories during willful memory recall— think: recalling navigation details when a stranger asks you for directions. In their experiment, the neuroengineers first used electrodes implanted in neurosurgical patients to track brain signals. In particular, they monitored signals that were active when patients searched for objects from memory in a virtual reality game. Ultimately, they found that specific patterns of neuronal activity were matched with specific memories.

Why it’s important: Researchers have long known that certain activated neurons correspond with specific geographic locations, demonstrated by a Nobel Prize-winning discovery that linked “grid cells” and “place cells” to spatial location. However, prior to this experiment, it was unclear how spatial cells relate to memories made (through events or experiences) in that location. As explained by the study’s lead author Salman E. Qasim, “This discovery might provide a potential mechanism for our ability to selectively call upon different experiences from the past and highlights how these memories may influence our brain's spatial map.”

Apple plans standalone AR and VR gaming headset by 2022 and glasses later.

What it is: Apple recently announced its latest plan to release a series of AR/VR devices over the next four years. Just next year, the company will introduce 3D sensors to the iPad Pro, allowing users to reconstruct rooms, people, and objects in three dimensions. After their initial debut, these sensors will next be rolled out on iPhones (expected by end of 2020), building on current Face ID technology. In the following two years, Apple then aims to release its standalone AR/VR headset for use in virtual meetings, gaming, and entertainment. And by 2023, lightweight Apple glasses will reach consumers for everyday use. Although Apple’s release dates are later than anticipated, the tech giant’s 1,000 AR/VR engineers are forging ahead to deliver perfectly fine-tuned devices. Resulting technology will represent the beginning of Apple’s next big hardware push, building upon the wearables segment that now offsetts a decline in iPhone sales.

Why it’s important: By adding AR/VR glasses to a growing list of wearables—including the Apple Watch, AirPods, and Beats headphones—Apple is now making the leap from the iPhone revolution to far more accessible smart interfaces, seamlessly integrated in our everyday lives. Advancing steadily within the deceptive growth phase, AR glasses will soon allow you to navigate the streets of a new city without staring into a phone screen. Learn about the history of a new place, keep up to date on news alerts, and stay in touch with your favorite contacts, no intermediary 2D digital portal needed. Apple’s wearable revolution will transform the way we interact with our physical environments, converting every surface into an opportunity to work, learn, or play.

DNA is just one of more than one million possible ‘genetic molecules,’ scientists find.

What it is: A new study published in the Journal of Chemical Information and Modeling suggests that more than 1 million chemical look-alikes might encode biological information, as does DNA. So far, DNA, RNA, and a few man-made molecules are the only known nucleic acids capable of linking up, storing and relaying data, depending on their sequence. By designing a computer program that can generate chemical formulas, researchers at Emory University tested countless generated molecules to determine whether they resembled nucleotides. A surprise to everyone, their results identified over 1,160,000 molecules that could couple up in distinct pairings and assemble in a line, akin to DNA and RNA.

Why it’s important: Prompting us to fundamentally rethink optimal means of genetic data conveyance, this discovery has vast new implications. As a number of current drugs resembling nucleotides are effective in combating viruses and some malignant cancer cells, the team’s generated list could pave the way for novel pharmaceutical products. Within evolutionary biology, the finding that DNA and RNA have plenty of company may yield new truths about how life first evolved on Earth.

Kanye West’s sustainable Yeezy concept uses algae foam.

What it is: Kanye West’s Yeezy line is now diving into algae foam. West’s latest shoe, revealed at Fast Company’s Innovation Festival this week, is an algae-based creation modeled after the Yeezy foam runner. While its khaki color does not necessarily draw the eye, the shoe’s designers and engineering team are working to refine the color with environmentally friendly dyes. Meanwhile, Yeezy now plans to move its headquarters to a 4,000-acre ranch in Wyoming, enabling the company to grow algae in a hydroponic farm to further iterate on and rollout the new shoe product. The line’s transition to sustainable materials aligns with its parent brand’s eco-friendly initiatives. Driven by similar motives, Adidas recently pledged to manufacture solely with recycled plastics by 2024, and has already released the 100 percent recyclable Futurecraft Loop shoe.

Why it’s important: Second only to oil, the clothing and textile industry is the largest polluter in the world. Even once clothing reaches buyers’ shopping carts, consumer waste of textile products further contributes to the problem. The average American, for instance, throws away roughly 80 pounds of used clothing every year, much of which can be recycled but instead goes to the landfill. Yet big name brands hold tremendous power to popularize sustainable fashion and decreased production waste by innovating in the materials science realm. Boosting consumer awareness, Yeezy’s transition marks a key step towards ecologically responsible footwear, helping reduce fast-fashion waste.

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Abundance 360 is a curated global community of 360 entrepreneurs, executives, and investors committed to understanding and leveraging exponential technologies to transform their businesses. A 3-day mastermind at the start of each year gives members information, insights and implementation tools to learn what technologies are going from deceptive to disruptive and are converging to create new business opportunities. To learn more and apply, visit A360.com

Abundance Digital, a Singularity University program, is an online educational portal and community of abundance-minded entrepreneurs. You’ll find weekly video updates from Peter, a curated news feed of exponential news, and a place to share your bold ideas. Click here to learn more and sign up.

Know someone who would benefit from getting Abundance Insider? Send them to this link to sign up.

(*Both Abundance 360 and Abundance Digital are Singularity University programs.)

Topics: Abundance Insider Energy AI Longevity machine learning Artificial Intellegence Drones Batteries Autonomous Drones IoT solar solar energy internet of things aging drone technology solar power energy storage energy abundance future of energy genetic engineering brain genome sequencing water battery Alzheimer's dementia neuroscience optimization Apple Yeezy
9 min read

Abundance Insider: November 8th, 2019

By Peter H. Diamandis on Nov 8, 2019

In this week's Abundance Insider: Toshiba's IoT alliance with Softbank and KDDI, an energy breakthrough in solar power storage, and new genetic clues for Alzheimer's prevention.

P.S. Send any tips to our team by clicking here, and send your friends and family to this link to subscribe to Abundance Insider.

P.P.S. Want to learn more about exponential technologies and home in on your MTP/ Moonshot? Abundance Digital, a Singularity University Program, includes 100+ hours of coursework and video archives for entrepreneurs like you. Keep up to date on exponential news and get feedback on your boldest ideas from an experienced, supportive community. Click here to learn more and sign up.

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Toshiba's IoT alliance with Softbank and KDDI, an energy breakthrough in solar power storage, and new genetic clues for Alzheimer's prevention.

What it is: Copper-producing giant Freeport-McMoran is introducing a machine learning model to its production processes. While intended to increase the mining company’s annual output of copper by 90,000 tons (or 200 million pounds), the use of AI aims to minimize capital investment in doing so, as explained by chief executive Richard Adkerson. Developed with the management consulting firm McKinsey, Freeport-McMoran’s model integrates data from sensors across the company’s Bagdad mine in Arizona and suggests methods to optimize production, including adjusting the processing pH level to recover more copper.

Why it’s important: A production bump of this scale typically requires capital investment on the order of US$1.5 to 2 billion— not to mention far more industrial equipment. Harnessing the power of machine learning, however, Freeport-McMoran is planning to use the excess cash generated by increased production to pay down debt and power shareholder returns. Yet beyond mining, the use of integrated sensors and AI in even the most technologically lagging sectors is a tremendous validator of machine learning’s potential. By integrating data from key industrial processes and checkpoints, machine learning models can identify sources of inefficiency, non-intuitive shortcuts, and optimization decisions that create economic value far exceeding needed expenditures.

UPS and CVS deliver prescription medicine via drone to US residential customers.

What it is: Just this week, UPS announced that its drone delivery subsidiary, UPS Flight Forward, has completed its first two prescription medication deliveries to consumers in Cary, North Carolina. Both deliveries utilized the Matternet M2 drone system, now FAA-approved (as of last month) for UPS’s commercial use. Although a remote operator remained on hand, both deliveries were entirely autonomous, as drones hovered roughly 20 feet over each residential property to slowly lower packages by cable and winch to the ground. The announcement comes just one month after Flight Forward achieved its Part 135 air carrier certification, allowing the company's drones to “fly over people, at night, and out of an operators line of sight.”

Why it’s important: So far, UPS and Matternet have focused principally on deliveries to large healthcare campuses, with over 1,500 revenue-generating drone deliveries completed to date. The move to partner with CVS and to include residential deliveries is yet another signal we have been tracking, indicating that urban airspace, cargo transit and personalized deliveries are about to change significantly. What new opportunities open up when last mile delivery is no longer tethered to trucks and road transit?

Toshiba to form IoT alliance with SoftBank, KDDI and others.

What it is: In partnership with SoftBank, wireless carrier KDDI, and utility Tokyo Gas, Toshiba will launch an IoT platform called ifLink Open Community. To be formally established next March, the association aims to include over 100 Japanese companies, making it far easier for participating businesses to build IoT solutions without significant coding and technical hardware experience. Akin to Amazon’s model—which grants connection kits to smart device manufacturers that use Alexa—ifLink will similarly offer access to products sourced from the open community. This way, member companies no longer need to design prototypes and services from scratch.

Why it’s important: Standing at the intersection of connectivity, sensors and AI, the IoT market is booming. IDC projects the global market could top US$1 trillion by 2022, almost 2X last year’s US$646 billion market valuation. As major players like General Electric and Hitachi build their own proprietary IoT systems, IoT’s rise has largely been fueled by exponential advances in the price-performance ratio and miniaturization of sensors, surges in computing power, and the rapid emergence of 5G. With these converging foundations in place, we are about to witness a Cambrian explosion in new business models, smart and connected systems, and even intelligent urban networks. What intelligence would you gather within your own business if IoT platforms were readily buildable? What new products might you create?

An Energy Breakthrough Could Store Solar Power for Decades.

What it is: Swedish researchers have recently identified a molecule that can trap and store solar energy for up to decades, ultimately releasing the energy as heat on-demand. The secret sauce: a molecule made of carbon, hydrogen, and nitrogen that absorbs the Sun’s energy and holds it until a catalyst triggers its release. The team, led by Kasper Moth-Poulsen at Chalmers University of Technology in Gothenburg, also created a unique storage unit that can outperform the 5- to 10-year lifespan of standard lithium-ion batteries. Lastly, the group developed a transparent coating that absorbs sunlight and converts it to heat energy on the spot. Now working to demonstrate the technology at scale, the researchers are coating an entire building on campus with this material to reduce electricity requirements for heating and thereby curve carbon emissions. Once successful, the team aims to bring the storage unit to market in six years and the coating in only three— a timeline contingent on necessary funding streams.

Why it’s important: The big challenge that remains for Moth-Poulsen’s team is long-term energy storage for not only heat, but also electricity supply. While cost is yet another factor in recent solar-harnessing technologies, Moth-Poulson’s approach does not require expensive rare elements. Converting solar energy into heat through the team’s transparent coating could supply enough heat for vehicles and small buildings without any intermediary emission-producing machinery. Moving forward, this technology could even be incorporated into clothing to insulate humans in lightweight designs. In construction, window coatings could transform architectural designs in frigid regions, allowing more access to natural light during the winter. As demonstrated here, sometimes the greatest innovations begin on the micro-scale, harnessing unique chemical combinations for local use.

Three-story water battery cuts university's energy usage by 40 percent.

What it is: Having switched on its three-story “water battery” in September, Australia’s University of the Sunshine Coast (USC) is now receiving enough power to cut its reliance on the grid by over 40 percent. Essentially a giant thermal energy storage system, USC’s “water battery” harnesses 6,000 solar panels (lining campus roofs and carparks), which comprise a 2.1 megawatt photovoltaic system. In turn, this generated energy then serves to cool 4.5 megaliters of water within a three-story tank. As air conditioning constitutes two fifths of the campus’s energy costs, water cooled using solar-generated energy can offset this, saving the university an estimated “US$69 million in energy costs over the next 25 years,” according to USC’s COO Dr. Scott Snyder.

Why it’s important: Charging ahead full force, Australia’s USC has pledged to be carbon-neutral by 2025. Now operational, the university’s battery system is slated to cut CO2 emissions by upwards of 92,000 tons in the coming 25 years (already having reduced USC’s carbon footprint by 42 percent). Further earning the university international acclaim—through an award at Iceland’s 2019 Global District Energy Climate Awards—USC’s water battery is now inspiring similar energy innovations. Through customization around niche energy uses, renewable energy generation and storage systems are gradually fulfilling distinct slices of the energy needs pie, edging us closer to a carbon-neutral future worldwide.

Rare genetic mutation might hold clues to preventing Alzheimer's.

What it is: In an unprecedented new case, a Colombian woman developed early-stage Alzheimer’s yet experienced no common dementia symptoms for decades, likely due to a unique genetic mutation. While most Alzheimer’s cases are not linked to genetics, about 1,200 people in Colombia do face high early-onset genetic risk for the disease. Individuals with the E280A mutation of a gene called Presenilin 1 (PSEN1) are prone to developing Alzheimer’s in their forties or earlier. Yet while this female patient experienced the same unusually high level of brain amyloid-beta deposits as typical E280A individuals, she entirely evaded dementia symptoms like confusion and memory loss. When investigating this seeming anomaly, researchers found that she carried two additional “Christchurch” mutations in the APOE3 gene. While some E280 peers carried one version of this mutation, they were not protected against dementia in the same way.

Why it’s important: These findings open up a new realm of Alzheimer’s research, focused on preventing the development of dementia even as Alzheimer’s may progress. Without memory and normal brain function, it becomes almost impossible for Alzheimer’s patients to function independently. If effective in delaying the onset of dementia, however, a genetic treatment would not only increase lifespan but also vastly improve quality of life. While the genetic underpinnings of this newly discovered correlation will require further exploration, the recent surge of gene-editing tools can surely help apply these findings to therapeutic applications in the future. As genome-sequencing continues to demonetize, tracking mutations and their correlations with disease incidence will be easier than ever before.

Want more conversations like this?

Abundance 360 is a curated global community of 360 entrepreneurs, executives, and investors committed to understanding and leveraging exponential technologies to transform their businesses. A 3-day mastermind at the start of each year gives members information, insights and implementation tools to learn what technologies are going from deceptive to disruptive and are converging to create new business opportunities. To learn more and apply, visit A360.com

Abundance Digital, a Singularity University program, is an online educational portal and community of abundance-minded entrepreneurs. You’ll find weekly video updates from Peter, a curated news feed of exponential news, and a place to share your bold ideas. Click here to learn more and sign up.

Know someone who would benefit from getting Abundance Insider? Send them to this link to sign up.

(*Both Abundance 360 and Abundance Digital are Singularity University programs.)

Topics: Abundance Insider Energy AI Longevity machine learning Artificial Intellegence Drones Batteries Autonomous Drones IoT solar solar energy internet of things aging drone technology solar power energy storage UPS energy abundance softbank future of energy genetic engineering brain genome sequencing water battery CVS Alzheimer's dementia neuroscience Toshiba optimization
8 min read

sensors explosion & the rise of IoT

By Peter H. Diamandis on Oct 9, 2019

“Hey Google, how’s my health this morning?”

Topics: Sensors IoT trillion sensor economy smart cities internet of things smart tracking
11 min read

Abundance Insider: August 30th, 2019

By Peter H. Diamandis on Aug 31, 2019

In this week's Abundance Insider: Stratospheric drones, a new space elevator design, and CRISPR-controlled materials for drug delivery.

P.S. Send any tips to our team by clicking here, and send your friends and family to this link to subscribe to Abundance Insider.

P.P.S. Want to learn more about exponential technologies and home in on your MTP/ Moonshot? Abundance Digital, a Singularity University Program, includes 100+ hours of coursework and video archives for entrepreneurs like you. Keep up to date on exponential news and get feedback on your boldest ideas from an experienced, supportive community. Click here to learn more and sign up.

Cambridge scientists reverse aging process in rat brain stem cells.

What it is: A team of researchers at the University of Cambridge’s Wellcome-MRC Cambridge Stem Cell Institute has discovered a critical component of the extracellular environment’s effect on our brain’s aging process. As a result, they’ve now uncovered a potential mechanism for reversing loss of function in brain stem cells, typically due to stiffening. The researchers first studied the function of oligodendrocyte progenitor cells (OPCs) — a type of stem cell critical for normal brain function and myelin reformation — by placing the OPCs of older mice into the far softer brain tissue of younger animals. Surprisingly, the older cells became rejuvenated, behaving more similarly to younger counterparts. The team then took its research a step further by removing Piezo1, a protein on the cell’s surface that detects whether its environment is soft or stiff. Once Piezo1 was removed, the OPCs were essentially tricked into believing their environment was soft, subsequently resuming normal, healthy function.

Why it’s important: In the near term, this discovery holds extraordinary potential to alleviate the pain of patients with Multiple Sclerosis, who suffer loss of function in both the brain and other parts of the nervous system. More broadly, however, this study demonstrates a key link between extracellular environment and the human aging process, opening new avenues for research and therapeutic applications. A major feat for longevity research, this and similar discoveries make aging research far more relevant to the well-funded study of other diseases, helping spur new funding for our extension of the human healthspan. | Share on Facebook.

Drone Ambitions Soar to the Stratosphere.

What it is: Airbus, Boeing, and SoftBank are now developing stratospheric autonomous drones, capable of flying at (and even above) 60,000 feet. Intended to fly for months without intervention, the drones could deliver imaging and even internet services from above, generating a new market for commercial and military customers. Already, Airbus’s current iteration of its solar-powered Zephyr UAV weighs just 175 pounds yet touts a wingspan of 75 feet. Taking after this lightweight model, the stratospheric drones would be able to recharge batteries during the day to stay aloft at night. While seemingly a competitor to satellite connectivity providers like Starlink, OneWeb or TeleSat, these drones could additionally improve the link between ground and space satellites, according to the European Space Agency. This, in turn, would make upper stratospheric and space efforts far more complementary than competitive.

Why it’s important: According to research firm NSR, high-altitude aircraft (including stratospheric drones, balloons and airships) could generate $1.7 billion in revenue over the next decade. Despite the challenges of building aircraft light enough to fly above 60,000 feet, yet capable of withstanding turbulence at lower altitudes, there are already over 40 development programs currently under way. As both R&D and private sector investment continue on the rise, we will soon bring connectivity to upwards of 4 billion people currently without access to the web— no undersea cables or capital-intensive trenches needed. Last-mile connectivity costs will plunge, and anyone anywhere will be able to leverage the connected globe. | Share on Facebook.

Double’s new telepresence robot now drives you around like you’re a Sim.

What it is: In a new feat for telepresence robotics, Double has announced the third generation of its flagship telecommuting device. The company’s latest model, “Double 3” has vastly improved upon previous hardware, no longer consisting of a scooter-like mount topped with (separately purchased) iPad. Embedding a screen for remote interaction with the robot’s environment, Double 3 is additionally equipped with a suite of cameras and 3D sensors, enabling seamless self-driving and augmented reality integration. No longer needing to manually steer Double around the office, users can simply place a “pin” on their target location and the robot will automatically go there, avoiding all obstacles and people along the way. Further geared with high-resolution Pan-Tilt-Zoom cameras, the device grants remote workers anywhere the novel ability to collaborate with colleagues in a hyper-efficient, life-like way.

Why it’s important: In just the past 5 years, the number of employers that allow working from home has grown 40 percent. Yet beyond the benefits of no commute, a recent survey revealed that 86 percent of employees find they are more productive at home than in an office. Yet Double and similar telepresence robots provide teams the best of both worlds, offering the convenience of working from home, while still maintaining the efficiency of spontaneous “water cooler” conversations and in-person meetings. As investment in sensors, AI, and AR surges year-to-year, the cost of producing telepresence hardware will continue to plummet. An indication of the technology’s growing commercialization, Suitable Technologies (Double’s main competitor) was recently acquired by Blue Ocean Robotics, as the company continues deploying its Beam robot. Amplifying the experience of decentralized teams, Double’s latest iteration could permeate a range of industries, from elder care to surveillance to supply chain management. How might your business leverage telepresence robotics in a growing decentralized workforce? | Share on Facebook.

Wildfire science: computer models, drones and laser scanning help fan the flames and prevent widespread devastation.

What it is: Utah University atmospheric scientist Adam Kochanski and a team of researchers are now refining a computer model with new data to predict how fires will spread and what weather events will follow in their wake. Initiating a “prescribed fire” — a controlled fire typically intended for habitat restoration in forest regions — the team used numerous infrared camera-fitted drones, laser scanning, and sensors to collect data while Kochanski tested his predictive model’s forecasts. While generated data is still being processed, the experiment is contributing to ‘coupled fire-atmosphere models,’ which leverage data to determine how wildfires influence local weather conditions, and the interaction of the two. Yet already, Kochanski’s model proved remarkably predictive of the experimental fire’s actual behavior.

Why it’s important: As wildfires grow ever more untamable and regions like the Amazon suffer detrimental losses, high-accuracy predictive models are more vital than ever before. Just in the last 10 decade, wildfires have decimated between 16,000 and 40,000 square kilometers of land in the U.S. each year, resulting in financial losses of US$5 billion. Paired with robust networks of sensors and autonomous drone fleets, computer models that incorporate weather conditions in AI forest fire mapping could help us to stem early fires before they gain momentum, saving forests, lives, and entire habitats. |Share on Facebook.

These researchers want to run a cable from the Earth to the Moon.

What it is: Space elevators have remained a science fiction moonshot since the Space Race of the 1960s. Building them would require cable material far stronger and lighter than any material currently discovered. However, in a newly published paper, researchers from Columbia and Cambridge universities describe Spaceline, a promising cable design made from known materials that could run from the surface of the Moon to geostationary orbit (approximately 36,000 kilometers above ground). Given that the elevator would not attach to Earth’s crust, the design eliminates numerous past engineering challenges, as rockets would only need to reach Spaceline’s endpoint, dock on the elevator, and be pulled to the Lunar surface.

Why it’s important: Rocketing into space (particularly with heavy cargo) is exorbitantly expensive, costing between US$10-20 million per metric ton of weight. Finding alternative methods of exiting the Earth’s atmosphere is therefore crucial for our democratization of space travel and extraplanetary discovery. In success, Spaceline could significantly lower the cost and challenge of modern-day rocket launches, possibly even allowing future researchers to tether orbital telescopes and research institutions between the Earth and Moon. Made far more accessible given its use of existing materials, Spaceline may not only forge a faster path to private space travel, but could enable new space-based research to fundamentally shift the way we understand our universe and our species’ place within it. | Share on Facebook.

Gene Editing Transforms Gel into Shape-Shifting Smart Material.

What it is: We often think of CRISPR in the context of genetically modified organisms or treatment of genetic diseases. Yet a team of researchers led by MIT bioengineer James Collins now has a new application for the gene-editing tool: smart materials that can shape-shift on command. Working with water-filled polymers held together by DNA strands called DNA hydrogels, the team used DNA-snipping enzyme Cas12a to alter the properties of these polymers. Programmed to recognize a specific DNA sequence and cut the targeted strand, Cas12a is now being used to build a number of CRISPR-controlled hydrogels that can change shape or dissolve completely to release a payload. Having demonstrated effectiveness, the team has even designed these hydrogels to release enzymes, drugs and human cells in response to programmed stimuli.

Why it’s important: Smart sensors for targeted drug delivery within the body have long been a hot topic of discussion, poised to revolutionize medicine with personalized and preventive care. Yet this research team’s CRISPR-controlled hydrogels could soon make this vision a practical reality. As expressed by Collins, “We’re in the CRISPR age right now [...] It’s taken over biology and biotechnology. We’ve shown that it can make inroads into materials and bio-materials.” Enabling constant monitoring of internal conditions, shape-shifting hydrogels and similar CRISPR-controlled materials might one day be capable of surrounding an infection with antibiotics the minute it appears, or releasing cancer drugs as soon as tumors are detected. Fortifying our bodies with an internal line of defense, smart biomaterials are slated to vastly increase the human healthspan, revolutionizing healthcare and the way we treat disease. | Share on Facebook.

What is Abundance Insider?

This email is a briefing of the week's most compelling, abundance-enabling tech developments, curated by my team of entrepreneurs and technology scouts, including contributions from standout technology experts and innovators.

Want more conversations like this?

At Abundance 360, a Singularity University program, we teach the metatrends, implications and unfair advantages for entrepreneurs enabled by breakthroughs like those featured above. We're looking for CEOs and entrepreneurs who want to change the world. The program is highly selective. If you'd like to be considered, apply here

Abundance Digital, a Singularity University program, is an online educational portal and community of abundance-minded entrepreneurs. You’ll find weekly video updates from Peter, a curated newsfeed of exponential news, and a place to share your bold ideas. Click here to learn more and sign up.

Know someone who would benefit from getting Abundance Insider? Send them to this link to sign up.

Topics: Abundance Insider Space AI Artificial Intellegence IoT driverless autonomous vehicles self-driving cars physics computation
10 min read

Abundance Insider: August 23rd, 2019

By Peter H. Diamandis on Aug 23, 2019

In this week's Abundance Insider: Intel's new AI chip, Starship's college-based delivery bots, and a major breakthrough in determining protein structure.

P.S. Send any tips to our team by clicking here, and send your friends and family to this link to subscribe to Abundance Insider.

P.P.S. Want to learn more about exponential technologies and home in on your MTP/ Moonshot? Abundance Digital, a Singularity University Program, includes 100+ hours of coursework and video archives for entrepreneurs like you. Keep up to date on exponential news and get feedback on your boldest ideas from an experienced, supportive community. Click here to learn more and sign up.

Researchers’ 3D map of the brain’s response to words could be vital for next-gen language decoders.

What it is: Researchers at UC Berkeley have now created a 3D map of how the brain responds to words. To achieve this, the team monitored brain activity (vis-à-vis blood flow data) of nine volunteers as they both listened to and read stories from “The Moth Radio Hour” podcast. By reading stories one word at a time and subsequently listening to the same passages, participants generated new data revealing how various words spark activity in distinct regions of the brain. These results were then fed into a computer program that used natural-language processing to map thousands of words based on their relationship to one another. Ultimately, the team found that different classes of words (e.g. social terms like “husband,” “father,” and “daughter”) do indeed correlate to disparate physical regions in the brain, regardless of whether they are read or listened to.

Why it’s important: Discoveries in neuroscience are fundamental to both augmenting and treating the human brain. In terms of augmentation, our ability to map the physical regions in which different brain activities take place will vastly facilitate development of brain-computer interface technologies (think: Elon Musk’s recently showcased Neuralink, for instance). From a treatment standpoint, research that codifies isolated brain activity — particularly in language and communication — could help us to develop unprecedented new therapies for patients with reading and speech disabilities. | Share on Facebook.

These AR swimming goggles can display multiple performance metrics while you swim.

What it is: Sports tech startup Form has just released the first-ever augmented reality (AR)-enabled swim goggles, introducing seamless fitness tracking to the pool. Developed in partnership with Olympic swimmers, the goggles can reach a depth of up to 32 feet. Attached to the side of one lens, Form’s computer sits embedded in a small black box, enabling swimmers to display performance metrics in real time, from total distance and stroke count, to total calories and split time. Using accelerometer data, the goggles’ onboard processor can even detect stroke types, additionally noting when swimmers turn around or take a break. For greater versatility, the company used machine learning to train its software on data produced by swimmers of multiple levels.

Why it’s important: Whereas some AR players have adopted a broad approach to general-purpose AR eyewear (think: Google Glass), Form’s targeting of a highly specific use case allows its technology to benefit from structured environments and an abundance of well-defined data. Just as Microsoft refined its Hololens technology through early application in industrial training and military settings, Form’s sports tech focus might soon yield AR hardware applicable in a range of industries. What other niche applications lend themselves to near-term, practical AR, while generating hardware for a fully augmented world? | Share on Facebook.

Intel launches first artificial intelligence chip Springhill.

What it is: This week, Intel released the company’s first dedicated AI processor, designed for use in large data centers. Known as Springhill, or Nervana NNP-I, the chip is based on a modified 10-nanometer Ice Lake processor, making it ideal for high workloads without significant energy use. Now a principal component of Intel’s “AI everywhere” strategy, the Springhill chip is built for an AI process called inference. Implementing trained neural network models to deduce novel insights from data, inference is essential for computer vision, speech and image recognition, as well as language processing tasks.

Why it’s important: Already in use by companies like Facebook, Intel’s chip can help offload inference workloads from countless standard processors, allowing these latter components to focus far more on general compute tasks. As explained by the general manager of Intel’s AI products group, Naveen Rao, “In order to reach a future situation of ‘AI everywhere,’ we have to deal with huge amounts of data generated and make sure organizations are equipped with what they need to make effective use of the data and process them where they are collected.” Not only will Intel’s Springhill deployment help catalyze complex AI inference processes, but similar iterations could vastly improve the energy efficiency of today’s growing data centers. | Share on Facebook.

Thousands of autonomous delivery robots are about to descend on US college campuses.

What it is: Having just raised $40 million in its Series A round, autonomous robot delivery startup Starship Technologies is now targeting U.S. college campuses. In total, Starship’s self-driving delivery bots have traveled 350,000 miles, completing over 100,000 deliveries across 20 different countries. With extensive testing under its belt, the company plans to deploy thousands of its all-electric, six-wheeled bots for college food deliveries over the next two years. Already in action at George Mason University and Northern Arizona University, the robots can carry up to 20 pounds of cargo and make deliveries within a three-to-four-mile radius.

Why it’s important: Online grocery shopping is predicted to surge up to fivefold over the next ten years, and American consumers are expected to spend upwards of $100 billion on food-at-home items by 2025. While today’s human-conducted delivery services (think: Postmates and DoorDash) are on the rise, these non-automated options remain heavily subsidized, as labor costs far exceed those of roboticized alternatives. By first targeting college campuses, companies like Starship can benefit from well-defined, easily navigable environments (not to mention an abundance of tech-savvy, young buyers) while building out an expanded business model for urban integration. | Share on Facebook.

Scientists extract hydrogen gas from oil and bitumen, giving potential pollution-free energy.

What it is: Clean energy startup Proton Technologies is now cracking the code of emission-less, pollution-free hydrogen gas. Hydrocarbons (like those in crude oil and natural gas) react with oxygen via combustion (or respiration) to produce energy plus carbon dioxide and water. Hydrogen gas, on the other hand, reacts with oxygen to produce solely energy and water. To avoid burning hydrocarbons above ground (and thereby release carbon into the atmosphere), Proton Technologies has now developed a system of converting hydrocarbons into hydrogen while still trapped in oil fields underground. By injecting oxygen into oil wells to combust the trapped hydrocarbons, Proton can generate enough heat in the process to produce hydrogen gas. This process leaves carbon sources trapped beneath the Earth’s surface in the form of carbon dioxide, carbon monoxide, methane, and other gases, while removing only hydrogen gas.

Why it’s important: An extraordinary range of new technologies is allowing us to fundamentally rethink our global energy economy. New game changers, from emission-free hydrogen gas to direct air capture (DAC), hold vast potential to decimate energy costs, while providing an unprecedented abundance of clean energy. Solving one of today’s most existentially critical challenges requires a robust energy production strategy bolstered by first principles thinking. Peter’s most recent blog series heavily explores the potential of alternative energy technologies, spanning nuclear, solar, and direct air capture-derived fuels. Could the next piece of this complex energy puzzle involve hydrogen gas? | Share on Facebook.

Measuring the shape of proteins just got easier thanks to mathematics.

What it is: A research team led by Yale chemist Zhe Mei has just made significant progress in scientists’ ability to identify protein structures. In common practice, proteins have either been crystallized and analyzed via x-ray crystallography or packed in a liquid solution and analyzed using nuclear magnetic resonance (NMR). Yet neither approach is consistently accurate for all proteins, and results differ. To understand why, Mei and her team built a database of x-ray crystallography protein structures at various temperatures. Subsequently, the team built a mathematical model of the ways in which proteins pack together, either forming solid crystals or bundles in solution for NMR. In success, the researchers not only found that packing density can explain the difference in protein structure between both measurement techniques, but were also able to study how temperature influences structure.

Why it’s important: A key building block for everything from organ tissue to hormonal regulation, proteins are responsible for much of our biological machinery, and each protein’s function is largely defined by its complex structure. Predicting and visualizing protein structure, however, has been a seemingly insurmountable challenge, prompting scientists to develop complex algorithms and even launch crowdsourcing platforms. Yet mathematical modeling can be invaluable in reconciling differences between different measurement and imaging techniques—both improving biochemistry research methods and revealing unknown relationships between our biology and external variables. | Share on Facebook.

Topics: Abundance Insider Space AI Artificial Intellegence IoT driverless autonomous vehicles self-driving cars physics computation
12 min read

Abundance Insider: August 16th, 2019

By Peter H. Diamandis on Aug 16, 2019

In this week's Abundance Insider: NYC's first driverless shuttle service, universe-generating supercomputers, and the new legal debate of patent-holding AIs.

P.S. Send any tips to our team by clicking here, and send your friends and family to this link to subscribe to Abundance Insider.

P.P.S. Want to learn more about exponential technologies and home in on your MTP/ Moonshot? Abundance Digital, a Singularity University Program, includes 100+ hours of coursework and video archives for entrepreneurs like you. Keep up to date on exponential news and get feedback on your boldest ideas from an experienced, supportive community. Click here to learn more and sign up.

New York’s first-ever driverless shuttle service has now hit the road.

What it is: Just last week, autonomous vehicle (AV) startup Optimus Ride became the first public AV offering in New York City, providing shuttle rides to passengers in Brooklyn's Navy Yard. While carrying both a safety driver and software operator, and restricted to a 1.1-mile loop of private roads, the shuttle service is already expected to serve over 16,000 passengers per month. Lowering consumers' barrier to use, Optimus has even made the service free, running between a NYC Ferry stop and the Yard’s Cumberland Gate to embed itself in the daily routine of thousands of commuters.

Why it’s important: As regulatory frameworks continue to catch up with AV technology, public trust is critical. By launching its shuttle service at the Navy Yard (private property exempt from DMV regulation), Optimus can tap into an existing passenger pool with rigidly defined routes and far fewer safety concerns. This choice further reflects Optimus’s strategy of deploying its service in residential communities, corporate and university campuses, resorts, and similarly well-structured environments. Providing a lower-risk market entry route, these “enclosed network” transportation services are already predicted to exceed a combined value of $600 billion, according to Optimus’s founders. An alternative to personal vehicles’ incremental addition of adaptive cruise control, brake assist, and hands-free parallel parking, Optimus-like shuttle services may vastly accelerate AV’s broader public adoption. | Share on Facebook.
 

Google’s AI researchers built an open-sourced soccer simulator to train next-gen machine learning algorithms.

What it is: Developing what we might call an AI playground, AI engineers at Google Research’s Brain Team have now built Google Research Football Environment. A reproducible, customizable, and physics-based environment, the open-sourced soccer video game is an ideal platform for researchers anywhere to test their machine learning algorithms. While games such as Pong, Space Invaders, and Go are now easily mastered by sophisticated algorithms, complex open-world games like Starcraft remain too challenging. Virtual soccer, on the other hand, offers a sufficiently structured (rule-based) game while introducing behavioral uncertainty and diverse team strategies.

Why it’s important: As explained by Research Lead Karol Kurach, Google’s football environment “provides a challenging reinforcement learning problem as football requires a natural balance between short-term control, learned concepts such as passing, and high level strategy.” Given the learning algorithm’s capacity to play against humans and machines alike, the virtual soccer game also introduces a broad range of opponent weaknesses and human irrationality. Yet beyond the game’s utility for immersing machine learning in accurate, real-world environments, GRFE could grant us new soccer strategies that even the world’s most skilled coaches have never considered. Meanwhile, for the AI research community, Google’s new game environment perfectly combines an effective training platform, public code, appropriate complexity, and non-deterministic patterns. | Share on Facebook.

India’s Reliance Jio is launching its IoT network on New Year’s Day, with a plan to connect 1 billion devices.

What it is: Chairman of Reliance Industries, Mukesh Ambani, has now set the conglomerate’s sights on powering at least half of India’s connected devices, projected to exceed 2 billion over the next two years. Leveraging the company’s 4G network, Reliance’s telecom subsidiary, Reliance Jio, is therefore launching a Narrowband Internet of Things (or NBIoT) this coming January. Yet Jio will focus less on in-home appliances, instead targeting low-cost, seamless connectivity between industrial machines in manufacturing, transportation, logistics, and utilities. Reliance's focus on these latter industries also follows the Indian government's $1 billion investment in the construction of 100 smart cities.

Why it’s important: While India’s IoT-connected devices currently number about 60 million, Deloitte estimates a 32X surge in the nation’s online devices by 2020. Growth at this scale would drive a $9 billion domestic market, attracting countless smart device companies and new telecom players. Although we often think of technologically developed nations as best suited to IoT and smart cities, India and other emerging economies are well-positioned to leapfrog traditional network infrastructure, as IoT technology can be more easily embedded during network construction (no retrofitting needed!). As governments begin pouring funds into front-end smart city applications, IoT networks like that of Reliance are providing the backbone for everything from traffic flow optimization to government e-services. Share on Facebook.

Could this AI inventor be the first with a patent to its name?

What it is: Sparking historic legal debate, American engineer Stephen Thaler and legal experts have just filed for UK-, Europe-, and US-based patents in the name of an AI. Dubbed Dabus AI, the algorithm was originally invented by Thaler but went on to autonomously design novel consumer products. Those in the patent filing process include a fractal-based, easy-to-grasp food container and a lamp built to flicker in patterns mirroring brain activity. As might be expected, however, patent offices are showing strong resistance, citing the traditional precedent that legal rights have always gone to humans.

Why it’s important: Now that AIs are becoming inventors, the legal status of human creativity and artificial genius could fundamentally alter how we assign legal responsibility, credit, ownership, and (in the case of product malfunction) culpability. As explained by the BBC, human requirements were originally intended to protect individuals from losing their inventions to corporations. Yet the increasing use of AIs (such as generative adversarial networks, or GANs) to design everything from optimized auto parts to novel drug therapies, is about to birth a far broader debate about intellectual property and the legal definition of invention. | Share on Facebook.

This supercomputer generates millions of universes, helping researchers determine the rules that shaped our own.

What it is: Peter Behroozi and his research team at the University of Arizona Steward Observatory are now employing computer simulation to study one of humanity’s most existential questions: the formation of our universe. Foregoing costly telescopes, the team instead uses a supercomputer to generate millions of virtual universes. Each known as an “Ex Machina,” individual universes contain 12 million galaxies and start 400 million years after the Big Bang. By observing the characteristics of each universe, Behroozi and colleagues can distinguish underlying differences across simulations (relative to our own universe) to determine the viability of today's various formational theories. With a specific focus on the role of dark matter and how simulated galaxies give birth to stars, the research team can thereby infer causal relationships far more difficult to identify through traditional observation.

Why it’s important: Astronomers’ newfound ability to simulate millions of universes could soon allow us to isolate individual causal factors responsible for what we observe in the stars today. Yet supercomputers’ ability to generate massive databases with logically consistent data affects scientific discovery well beyond the origins of our universe. Soon, we might be able to “birth” millions of ecologies or even political simulations, each bound by their own set of parameters. In success, supercomputers and AI-generated simulations could thereby help researchers identify causal links, optimal conditions, and even theoretical flaws within any scientific field imaginable. | Share on Facebook.

Astronomer David Kipping’s proposed “terrascope” (a planetary telescope) would use Earth’s atmosphere as a giant lens.

What it is: Telescopes capable of observing far-off worlds usually exceed billions in cost and can span the equivalent of multiple football fields. What if we could instead use the Earth as a giant telescope lens, dramatically cutting down on cost and size? Enter Columbia University’s David Kipping, an astronomer who has now developed designs for a “Terrascope.” When light hits the Earth, it refracts through the Earth’s atmosphere. This refraction closely mimics the lensing behavior of standard telescopes and reading glasses. Kipping’s thought proposal therefore suggests that we harness the Earth itself as a giant lens, placing a space telescope at the focal point. In theory, this configuration would boast the light-gathering power of a 150-meter telescope, but cost far less than alternative astronomical observation systems.

Why it’s important: While many technical challenges remain, Kipping’s paper provides first principles engineering solutions that validate the efficacy of a conceptual Terrascope. Today, Earth-based telescopes are astronomically expensive. Kipping estimates that replicating the results of a Terrascope-scale system would require a 100 meter (as opposed to 1 meter) terrestrial lens, not to mention upwards of $35 billion. Leveraging an entire planet as our lens, however, could offer an extraordinary new method for imaging distant, space-faring objects and even earth-like planets. How else might one apply Kipping’s first principles approach to astronomy and engineering? | Share on Facebook.

What is Abundance Insider?

This email is a briefing of the week's most compelling, abundance-enabling tech developments, curated by my team of entrepreneurs and technology scouts, including contributions from standout technology experts and innovators.

Want more conversations like this?

At Abundance 360, a Singularity University program, we teach the metatrends, implications and unfair advantages for entrepreneurs enabled by breakthroughs like those featured above. We're looking for CEOs and entrepreneurs who want to change the world. The program is highly selective. If you'd like to be considered, apply here

Abundance Digital, a Singularity University program, is an online educational portal and community of abundance-minded entrepreneurs. You’ll find weekly video updates from Peter, a curated newsfeed of exponential news, and a place to share your bold ideas. Click here to learn more and sign up.

Know someone who would benefit from getting Abundance Insider? Send them to this link to sign up.

Topics: Abundance Insider Space AI Artificial Intellegence IoT driverless autonomous vehicles self-driving cars physics computation
11 min read

Future of Cities Part 2: Visions of the Future

By Peter H. Diamandis on Mar 10, 2019

Tomorrow’s cities are reshaping almost every industry imaginable, and birthing those we’ve never heard of.

Topics: Energy Abundance Materials Science Data AI Real Estate Artificial Intellegence Autonomous Drones IoT materials connectivity solar energy trillion sensor economy autonomous vehicles China smart cities internet of things Spatial Web construction mobile devices cities infrastructure urbanization Estonia megacities microcities Dubai Xiong'an New Area traffic flying cars
9 min read

Future of Smart Cities - Part 1

By Peter H. Diamandis on Mar 3, 2019

Each week alone, an estimated 1.3 million people move into cities, driving urbanization on an unstoppable scale. 

Topics: Energy Abundance Materials Science Data AI Real Estate Artificial Intellegence IoT materials connectivity solar energy trillion sensor economy China smart cities internet of things Spatial Web construction mobile devices cities infrastructure urbanization Estonia megacities microcities Dubai Xiong'an New Area traffic
7 min read

My 25-Year Commitment & Focus for 2019

By Peter H. Diamandis on Oct 28, 2018

Imagine publicly making a 25-year commitment to something you’re passionate about.

How would your mindset change?

In 2013, I committed to running an annual mastermind called Abundance 360 (A360) for 25 years… and that statement fundamentally changed my mindset.

In this blog, I’ll share the backstory of this commitment, and how long-term thinking has the power to make a huge impact. I’ll also share a preview of the 2019 A360 event.

25 Years of A360

In 2013, I was at Genius Network, getting ready to go onstage and introduce Abundance 360 to a group of entrepreneurs and marketers.

Dan Sullivan, co-founder of Strategic Coach and my personal coach, pulled me aside. “Peter,” he said, “if you really want to make this stick, why don’t you tell them you’ll do it for 25 years?”

Like so many great ideas, it instantly clicked. A360 should be a 25-year journey, a ‘countdown to the Singularity’.

Five minutes later, I was onstage proclaiming A360 as “my 25-year-long CEO program for abundance and exponentially minded entrepreneurs.”

The instant I made that public statement, I experienced a game-changing mindset shift. It changed the way I thought about MY life. What I was committed to. Who I needed to be in the world. What I would be doing every year at the end of January through the year 2038.

What will the world look like by 2038? It’s pretty extraordinary, especially when you consider the exponentially growing technologies my team and I are following.

Ubiquitous AI, quantum computing, tomorrow’s trillion-sensor economy, synthetic biology, blockchain technologies and global gigabit connectivity, to name a few. All these, individually and in convergence, will create more wealth in the next 10 years than was created in the past century, transforming every industry and every company.

What will these technologies enable after 20 doublings of exponential growth? Everything will profoundly change.

The Power of Long-Term Thinking

Ultimately, your vision is a byproduct of your mindset.

With a scarcity mindset, you become protectionist and limited in your thinking: “I can’t afford to think about the future — I’ve got to worry about what’s going on right now.” Or you prioritize stability and proven practices over more risky, passion-driven ventures with potentially extraordinary rewards.

An abundance mindset enables you to think long-term: “The future is better than you can possibly imagine, and I’m going to be investing because I’m looking at 10x growth.”

Your mindset matters. Doing big, risky things is difficult — and it’s even harder if you lack stability in your life. Paraphrasing my friend Tony Robbins, “we need to have certainty in our lives before we can withstand uncertainty."

When you get clarity about your mission over a 25-year timeframe, you give yourself stability — and permission to dream even bigger. You’re able to enjoy current progress, instead of feeling stressed to immediately achieve your final goal.

A360 has become a central organizing principle in my life. I spend all year getting ready for the annual event — and my focus is delivering context on the future. I help members answer three questions:

  1. What technologies are going from deceptive to disruptive in the coming year?
  2. What is your Massively Transformative Purpose & Moonshot? (i.e. What is the impact you will make in life as you go from success to significance?)
  3. How will these technologies transform your business and what do you do about it? 

FYI, This is My A360-2019 Focus…

One major phenomenon I increasingly focus on is the convergence of technologies, trends and emerging industries.

What happens when one exponentially developing technology converges with another? Or when a rapidly demonetizing technology meets a skyrocketing trend, like the explosion of sensors we're seeing today?

Layering everything from deep learning to quantum computing to the Internet of Things, these convergences will supercharge growth in most major industries over the next five to 10 years.

This January, here’s my lineup of what I’m *most* excited about:

Module #1 - China Going from Deceptive to Disruptive: For the first time, I will be dedicating an entire module to China, arguably the world’s next AI Superpower. In 2017, China’s government laid out a development plan to lead the world in Artificial Intelligence by 2030, aiming to become the global center of innovation and build a domestic industry exceeding $150 billion in the process. Already accounting for 48 percent of the world’s total AI startup funding in 2017, China has seen the rise of countless AI-focused VC funds and a skyrocketing startup ecosystem, spanning everything from intelligent hardware to autonomous vehicles.

Module #2 – Convergence Catalyzer 1: We’ll look at the convergence of A.I., IoT, AR/VR and Blockchain and how these technologies will disrupt Finance, Insurance, Real Estate, Healthcare & Retail/Advertising, transforming industries and driving new business models. 

Module #3 – Augmented & Virtual Reality: We’re witnessing the emergence of AR & VR from the “Depths of Despair” to the “Plateau of Productivity”… Finally, AR & VR are coming online in a meaningful fashion. My goal in this module is to show how these technologies are going to massively impact every aspect of our lives and how fast they are moving!

Module #4 – The Future of Work, Free Time & Play: This module will explore what the future holds for ourselves and our kids… As living expenses demonetize and workplace automation increases, how will we spend our free time and derive meaning throughout our adult lives? And if our children and grandchildren don’t have to work for a living, how will they connect and find purpose in an AI-driven world? As VR & AR converge with AI and advancements in computing and hardware, we’re beginning to witness a new wave of highly immersive games, virtual worlds and online communities. Revenue in the video game hardware and software sector is projected to skyrocket from $65B (2018) to $235 billion by 2022.

Module #5 – Convergence Catalyzer 2: We’ll look at the convergence of 3D printing, robotics, AI and energy and how these technologies will disrupt construction, food, energy and transportation, driving new business models.

Module #6 – Human Longevity: In this module, we will discuss the status of cutting edge, powerful technologies that are in the lab and in FDA-approved clinical trials, that have the potential to extend your healthy lifespan an additional 10 to 30 years… Speeding us towards what Aubrey De Grey and Ray Kurzweil call “Longevity Escape Velocity.”

Module #7 – Moonshot Thinking: And in our final module, we’ll dive deep into the mindset, tools and strategies for creating and implementing your Moonshot. We’ll hear from CEOs with amazing stories and experiences that will reignite your passion and 10x your ambitions.

These are just a few of the highlights I’m excited to be covering in exactly three months from today, and I look forward to generating new dialogue around nascent industries and 2018’s most salient breakthroughs.

I believe we’re living in the most extraordinary time ever… and that the future is coming faster than most of us realize.

Your ability to anticipate change and make better, faster decisions is critical in the decades ahead.

And by tracking humanity’s progress in a finite period of 25 years, not only will you more closely witness history in the making, but learn to capitalize on it as well.

Only a handful of seats remain in our 2019 membership. To learn more about A360 and apply, head here.

Join Me

(1) Exponential Wisdom: If you’re interested in hearing more behind-the-scenes stories like this, Dan Sullivan and I co-host a podcast for entrepreneurs called Exponential Wisdom. (We discuss the A360 origin story in Episode 42.)

(2) A360 Executive Mastermind: This is a preview of the content discussed in my Executive Mastermind group called Abundance 360. The program is highly selective, for 360 abundance- and exponentially minded CEOs (running $10M to $10B companies). If you’d like to be considered, apply here.

Share this with your friends, especially if they are interested in any of the areas outlined above.

(3) Abundance-Digital Online Community: I’ve also created a Digital/Online community of bold, abundance-minded entrepreneurs called Abundance-Digital. Abundance-Digital is my ‘onramp’ for exponential entrepreneurs – those who want to get involved and play at a higher level. Click here to learn more.

Topics: AR/VR Sensors AI Mindset Longevity health a360 Artificial Intellegence IoT industry internet of things
2 min read

Join Me at Exponential Medicine

By Peter H. Diamandis on Oct 21, 2018

The convergence of exponential technologies including machine learning, artificial intelligence, robotics, networks, sensors, synthetic biology and quantum computing is transforming healthcare.

Topics: Sensors AI Medicine/Health health Artificial Intellegence healthcare preventive medicine personalized medicine IoT industry internet of things digitization
9 min read

The Future of Insurance

By Peter H. Diamandis on Oct 14, 2018

We profit from it, we fear it, and we find it impossibly hard to quantify… risk.

Topics: Sensors Entrepreneurship AI health blockchain Artificial Intellegence healthcare IoT connectivity trillion sensor economy autonomous vehicles self-driving cars smart cities industry loans distributed ledger wearables internet of things insurtech digitization insurance connected home devices
5 min read

Goodbye Advertising, Hello Jarvis

By Peter H. Diamandis on Jul 8, 2018

This year (2018), the global advertising industry is projected to surpass $550 billion.

Topics: google Artificial Intellegence IoT advertising facebook