“How do we use these new innovative technologies to really mitigate disparities in diabetes outcomes?” asked Risa Wolf, a pediatric endocrinologist at Johns Hopkins Hospital.
Karlsruhe, germany and novato, CA, USA
The Forever Healthy Foundation and the Buck Institute for Research on Aging today announced a new partnership to advance early-stage discoveries at the Institute that show promise to reverse physiologic aging in humans. The focus will be on cutting-edge research aimed at the repair of age-related damage at the cellular and molecular level, a hallmark of the aging process. Forever Healthy will commit up to $1 million per year for five years to drive this innovation. The funding aims to advance early-stage research with high translational potential in order to speed up the transition from lab to product.
German entrepreneur and longevity pioneer Michael Greve founded his humanitarian Forever Healthy initiative with the mission of accelerating the development of therapies to impede the aging process and the diseases that accompany it. This mission is in perfect alignment with the Buck Institute, the first independent biomedical facility in the world focused solely on the biology of aging.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods. Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not.
The hunt is on for leptoquarks, particles beyond the limits of the standard model of particle physics —the best description we have so far of the physics that governs the forces of the Universe and its particles. These hypothetical particles could prove useful in explaining experimental and theoretical anomalies observed at particle accelerators such as the Large Hadron Collider (LHC) and could help to unify theories of physics beyond the standard model, if researchers could just spot them.
DARPA-funded research is focused on “biobots” with potential environmental and health applications.
Scientists have successfully taught a collection of human brain cells in a petri dish how to play the video game “Pong” — kind of.
Researchers at the biotechnology startup Cortical Labs have created “ mini-brains ” consisting of 800,000 to one million living human brain cells in a petri dish, New Scientist reports. The cells are placed on top of a microelectrode array that analyzes the neural activity.
We think it’s fair to call them cyborg brains, Brett Kagan, chief scientific officer at Cortical Labs and research lead of the project, told New Scientist.
In the first episode of Humans+, Motherboard dives into the world of future prosthetics, and the people working on closing the gap between man and machine.
We follow Melissa Loomis, an amputee from Ohio, who had experimental nerve reversal surgery and is going to Johns Hopkins’ Applied Physics Lab to test out its latest Modular Prosthetic Limb, a cutting-edge bionic arm funded in part by DARPA. Neuro-interfacing machinery is a game changer in terms rehabilitating patients, but what possibilities do these advancements open for the future?
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The Wright brothers had designed the world’s first successful, heavier-than-air, powered airplane.
Find U.S. Department of Energy (DOE)-funded research about the Wright brothers’ innovative approach to development on OSTI.GOV:
• Accelerating Learning with Set-Based Concurrent Engineering: https://www.osti.gov/biblio/1605517
• Control Co-Design: An engineering game changer: https://www.osti.gov/biblio/1615248
• Engineering a Better Future: Interplay between Engineering Social Sciences and Innovation: https://www.osti.gov/biblio/1530161
A Christmas Eve present to the world.
In what can be considered as a Christmas present for the world, NASA is looking to launch its new space telescope on coming Friday, which also happens to be ‘Christmas Eve’.
On Friday, NASA Administrator Bill Nelson said that the agency will blast off the $10 billion James Webb Space Telescope on December 24.
Also Read | ’Long-extinct volcano on Mars?’: Perseverance rover’s new discoveries a treasure trove for future scientists
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser. Our prototype copies how humans research answers to questions online – it submits search queries, follows links, and scrolls up and down web pages. It is trained to cite its sources, which makes it easier to give feedback to improve factual accuracy. We’re excited about developing more truthful AI, but challenges remain, such as coping with unfamiliar types of questions.
Language models like GPT-3 are useful for many different tasks, but have a tendency to “hallucinate” information when performing tasks requiring obscure real-world knowledge. To address this, we taught GPT-3 to use a text-based web-browser. The model is provided with an open-ended question and a summary of the browser state, and must issue commands such as “Search …”, “Find in page: …” or “Quote: …”. In this way, the model collects passages from web pages, and then uses these to compose an answer.