Lifeboat Foundation

To advance our capabilities in protein engineering, MIT CSAIL researchers came up with “FrameDiff,” a computational tool for creating new protein structures beyond what nature has produced. The machine learning approach generates “frames” that align with the inherent properties of protein structures, enabling it to construct novel proteins independently of preexisting designs, facilitating unprecedented protein structures.

“In nature, protein design is a slow-burning process that takes millions of years. Our technique aims to provide an answer to tackling human-made problems that evolve much faster than nature’s pace,” says MIT CSAIL PhD student Jason Yim, a lead author on a new paper about the work. “The aim, with respect to this new capacity of generating synthetic protein structures, opens up a myriad of enhanced capabilities, such as better binders. This means engineering proteins that can attach to other molecules more efficiently and selectively, with widespread implications related to targeted drug delivery and biotechnology, where it could result in the development of better biosensors. It could also have implications for the field of biomedicine and beyond, offering possibilities such as developing more efficient photosynthesis.

Photosynthesis is how plants and some microorganisms use sunlight to synthesize carbohydrates from carbon dioxide and water.

A small soft robot composed of strategically magnetized polymers could one day find its way into human bodies.

VIDEO : The company behind GR-1 plans to release 100 units by the end of 2023 mainly targeting robotic R&D labs. GR-1 will be able to carry patients from the bed to wheelchairs and help pick up objects.

Decision theorist Eliezer Yudkowsky has a simple message: superintelligent AI could probably kill us all. So the question becomes: Is it possible to build powerful artificial minds that are obedient, even benevolent? In a fiery talk, Yudkowsky explores why we need to act immediately to ensure smarter-than-human AI systems don’t lead to our extinction.

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership.

Continue reading “Will Superintelligent AI End the World? | Eliezer Yudkowsky | TED” »

Influential AI leader Emad Mostaque, CEO of Stability AI, claims the industry is about to explode.

During a virtual roundtable held by Swiss investment bank UBS on Thursday, Emad Mostaque, CEO of Stability AI, claimed that AI is only at its infancy despite its growing popularity.

This is according to a report by Business Insider published on Friday that quoted the top AI expert directly.

ChatGPT decreased the time it took workers to complete certain writing tasks by 40 percent and increased output quality by 18 percent.

A new MIT study has found that access to the assistive chatbot ChatGPT decreased the time it took workers to complete certain writing tasks by 40 percent and increased output quality by 18 percent.

This is according to a press release by the institution published on Friday.

Continue reading “ChatGPT boosts writing productivity, finds new MIT study” »

CEO Suumit Shah said that after the integration of the AI, the response time of their customer support service went down from one minute and 44 seconds to zero seconds.

An Indian startup is claiming that it replaced 90 percent of its support staff with an artificial intelligence-powered chatbot called Lina.

Suumit Shah said that after the integration of the AI, the response time of their customer support service went down from one minute and 44 seconds to zero seconds. And the time taken to resolve a query went down from two hours and 13 minutes to three minutes… More.

Continue reading “Indian startup fired 90 percent of its staff, replaced them with an AI chatbot” »

Researchers led by Leipzig University have found a application in oncology for the scientific field of Physics of Cancer. This is a milestone for the new research field, proving its clinical relevance for the first time. Based on tissue and cell mechanics and using machine learning, the team developed a marker for cancer cell motility in digital pathology.

The marker delivers new information about breast tumors that will improve the ability to predict the risk of metastasis, even after a decade has passed. The researchers have just published their new findings in the journal Physical Review X.

In a retrospective study of 1,380 female breast cancer patients, conducted in close collaboration with Professor Axel Niendorf from the Pathologie Hamburg-West institute, doctoral researcher Pablo Gottheil from the research group led by Professor Josef Alfons Käs at Leipzig University found that a collective transition of cancer cells to motility, known in specialist circles as “unjamming,” significantly increases the risk of distant metastases.

In this talk we introduce Shivon Zilis, Project Director at Neuralink, to her team’s work and the ethical impacts of implanting technology into the brain. We learn about the latest developments in Neuralink’s technology and the goals the team keeps in mind when designing and implementing technology that could change the way humans interact and understand technology.

Visit https://cucai.ca/ to learn more.

Continue reading “The Future of Brain Machine Interfaces — Shivon Zilis, Project Director at Neuralink | CUCAI 2021” »