A study introduces AI2BMD, an artificial intelligence-based dynamics simulation program that uses protein fragmentation with a machine learning force field to accurately and efficiently model the folding and unfolding of large proteins.
Category: robotics/AI – Page 309
Argonne to help drive AI revolution in astronomy with new institute led by Northwestern University
Part of a groundbreaking effort to harness artificial intelligence (AI) to unlock the mysteries of the cosmos, the U.S. Department of Energy’s (DOE) Argonne National Laboratory is a key collaborator in the newly launched NSF-Simons AI Institute for the Sky (SkAI, pronounced “sky”), led by Northwestern University.
Jointly funded by a $20 million grant from the U.S. National Science Foundation (NSF) and the Simons Foundation, SkAI aims to revolutionize how researchers explore the universe by developing innovative AI technologies capable of handling the vast data generated by astronomical surveys.
Argonne receives funding for artificial intelligence in scientific research
The U.S. Department of Energy (DOE) has awarded DOE’s Argonne National Laboratory funding as part of its Artificial Intelligence (AI) for Scientific Research program.
Supported by DOE funding, two projects will drive innovations by improving how data is processed and protected, leading to faster and more secure discoveries.
Artificial magnetic muscles can support tensile stresses up to 1,000 times their own weight
A research team, led by Professor Hoon Eui Jeong from the Department of Mechanical Engineering at UNIST has introduced an innovative magnetic composite artificial muscle, showcasing an impressive ability to withstand loads comparable to those of automobiles. This material achieves a stiffness enhancement of more than 2,700 times compared to conventional systems. The study is published in Nature Communications.
Soft artificial muscles, which emulate the fluidity of human muscular motion, have emerged as vital technologies in various fields, including robotics, wearable devices, and biomedical applications. Their inherent flexibility allows for smoother operations; however, traditional materials typically exhibit limitations in rigidity, hindering their ability to lift substantial weights and maintain precise control due to unwanted vibrations.
To overcome these challenges, researchers have employed variable rigid materials that can transition between hard and soft states. Yet, the available range for stiffness modulation has remained constrained, along with inadequate mechanical performance.
Pattern Recognition vs True Intelligence — Francois Chollet
Francois Chollet, a prominent AI expert and creator of ARC-AGI, discusses intelligence, consciousness, and artificial intelligence.
Chollet explains that real intelligence isn’t about memorizing information or having lots of knowledge — it’s about being able to handle new situations effectively. This is why he believes current large language models (LLMs) have \.
