Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.
Category: robotics/AI – Page 99
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.
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 general intelligence is a theoretical form of AI that can reason as well as humans. AI researchers debate how close it is to reality.
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.
A judge found that two media outlets alleging copyright violations hadn’t demonstrated that they’d been harmed by OpenAI removing “copyright management information” from its training data.
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 \.
In a new study in Physical Review Letters, scientists have demonstrated a method to control artificial microswimmers using electric fields and fluid flow. These microscopic droplets could pave the way for targeted drug delivery and microrobotics.
Researchers at Tampere University have created the world’s first soft touchpad capable of detecting the force, area, and location of contact without the need for electricity. This innovative device operates using pneumatic channels, making it suitable for environments like MRI machines and other settings where electronic devices are impractical. The technology could also be advantageous for applications in soft robotics and rehabilitation aids.
Researchers at Tampere University have developed the world’s first soft touchpad that is able to sense the force, area, and location of contact without electricity. That has traditionally required electronic sensors, but the newly developed touchpad does not need electricity as it uses pneumatic channels embedded in the device for detection.
Made entirely of soft silicone, the device contains 32 channels that adapt to touch, each only a few hundred micrometers wide. In addition to detecting the force, area, and location of touch, the device is precise enough to recognize handwritten letters on its surface and it can even distinguish multiple simultaneous touches.