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The research scientists’ warnings come amid rising concern about the power of the big tech companies. Most of the focus has been on the current generation of technology — search, online advertising, social media and e-commerce. But the scientists are worried about a barrier to exploring the technological future, when that requires staggering amounts of computing.


Each big step of progress in computing — from mainframe to personal computer to internet to smartphone — has opened opportunities for more people to invent on the digital frontier.

But there is growing concern that trend is being reversed at tech’s new leading edge, artificial intelligence.

Computer scientists say A.I. research is becoming increasingly expensive, requiring complex calculations done by giant data centers, leaving fewer people with easy access to the computing firepower necessary to develop the technology behind futuristic products like self-driving cars or digital assistants that can see, talk and reason.

Ishikawa Komuro Lab’s high-speed robot hand performing impressive acts of dexterity and skillful manipulation. For more information, see Hizook.com — https://youtu.be/redirect?q=http%3A%2F%2Fwww.hizook.com%2Fblog%2F2009%2F08%2F03%2Fhigh-speed-robot-hand-demonstrates-dexterity-and-skillful-manipulation&v=-KxjVlaLBmk&event=video_description&redir_token=R8vFX_8q-iKuq6Qf-fwYYVSuonx8MTU3MTM3MjUyOUAxNTcxMjg2MTI5

Dr. Qingsong Zhu, the COO of Insilico Medicine, discussed the use of deep learning in creating biomarkers for aging. Initially discussing existing clocks and the problems with animal translation, he went on to discuss what sorts of markers are ideal for age-related research and the details of training and testing a model that works with these markers, showing that a deep model compares favorably to other models.

He also used his model to show that smoking does, in fact, cause accelerated aging.

Researchers at TU Delft have developed a new supercompressible but strong material without conducting any experimental tests at all, using only artificial intelligence (AI). “AI gives you a treasure map, and the scientist needs to find the treasure,” says Miguel Bessa, first author of a publication on this subject in Advanced Materials on 14 October.

Foldable bicycle

Miguel Bessa, assistant professor in and engineering at TU Delft, got the inspiration for this research project during his time at the California Institute of Technology. At a corner of the Space Structures Lab, he noticed a satellite structure that could open long solar sails from a very small package.

The US, Russia and China are the only three nations which have successfully managed to get a rover onto the Moon. The UK will be next, say Spacebit.


CEO and Founder of UK startup Spacebit Pavlo Tanasyuk has announced the first commercial UK mission to the Moon.

Spacebit say it will send the smallest robotic moon rover in the world, with legs and not wheels.

According to Pavlo Tanasyuk, the robotic rover features a sensor that can take measurements and collect exploration data. This data can be evaluated and it can be utilised for any commercial and scientific purpose.

By and Targeting Metabesity to examine the links between metabesity, Longevity and the USA’s current health shortfalls, including low health-adjusted life expectancy (“HALE”) and the large gap between HALE and life expectancy, despite its extremely high per-capita healthcare expenditures, and to chart policy recommendations to neutralize this vast health vs wealth deficit.


€œMetabesity and Longevity: USA Special Case Study € is an 85-page open-access analytical report produced jointly by Aging Analytics Agency and Targeting Metabesity to examine the links between metabesity, Longevity and the USA €™s current health shortfalls, including low health-adjusted life expectancy ( €œHALE €) and the large gap between HALE and life expectancy, despite its extremely high per-capita healthcare expenditures, and to chart policy recommendations to neutralize this vast health vs wealth deficit.

Link to Special Case Study: https://aginganalytics.com/longevity-usa/

As the issue of aging population intensifies, sick care will become increasingly expensive and ineffective. America needs to rapidly deploy a government-led shift from treatment to prevention, and from prevention to precision health, using deep diagnostics and prognostics in combination with biomarkers of aging, metabesity, health and intervention-effectiveness, to delay the onset of disease with as minimal intervention as possible, as early as possible. Seeking synergies between Longevity research, P4 (preventive, personalized, precision and participatory) medicine and Artificial Intelligence has the potential to enable rapid and widespread policy and infrastructural reforms for USA healthcare to quickly boost National Healthy Longevity, but only with sufficient government commitment.

Brain-machine interface enthusiasts often gush about “closing the loop.” It’s for good reason. On the implant level, it means engineering smarter probes that only activate when they detect faulty electrical signals in brain circuits. Elon Musk’s Neuralinkamong other players—are readily pursuing these bi-directional implants that both measure and zap the brain.

But to scientists laboring to restore functionality to paralyzed patients or amputees, “closing the loop” has broader connotations. Building smart mind-controlled robotic limbs isn’t enough; the next frontier is restoring sensation in offline body parts. To truly meld biology with machine, the robotic appendage has to “feel one” with the body.

This month, two studies from Science Robotics describe complementary ways forward. In one, scientists from the University of Utah paired a state-of-the-art robotic arm—the DEKA LUKE—with electrically stimulating remaining nerves above the attachment point. Using artificial zaps to mimic the skin’s natural response patterns to touch, the team dramatically increased the patient’s ability to identify objects. Without much training, he could easily discriminate between the small and large and the soft and hard while blindfolded and wearing headphones.