Lifeboat Foundation

Shortly after publishing a paper demonstrating how its artificial intelligence programs could generate viable lead compounds in just a few weeks, Insilico Medicine has signed a dual-program discovery collaboration with Jiangsu Chia Tai Fenghai Pharmaceutical worth up to $200 million.

Focused on previously undruggable targets in triple-negative breast cancer, the deal includes an upfront payment along with potential milestones and sales-based royalties pegged to any eventual products.

“We are very pleased to establish the partnership with Insilico Medicine, entering the new era of AI-enabled drug development,” Wenyu Xia, general manager of the China-based pharma company, said in a statement. “We look forward to a long-term partnership with Insilico Medicine.”

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.

Continue reading “At Tech’s Leading Edge, Worry About a Concentration of Power” »

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%2Fbl…cxMjg2MTI5

With the Skydio 2 Dock, a drone-in-a-box solution, the California startup wants to let companies rely on its obstacle-dodging, self-flying drone for automated mapping and surveillance — no humans needed.

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

Continue reading “Researchers design new material using artificial intelligence” »

The team observed an abstract “pull” that lures neural networks into an optimal functional state, so they never stray far from their dedicated “set points.”

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/

Continue reading “‘Metabesity and Longevity: USA Special Case Study’ is an 85-page open-access analytical report produced jointly” »

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 Neuralink—among 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.

Continue reading “Moving Beyond Mind-Controlled Limbs to Prosthetics That Can Actually ‘Feel’” »