Researchers have built an artificial intelligence system that predicts long term changes in molecules over ten thousand times faster than usual computer simulations.
It is difficult to think of a more important theme right now than the impact of digital technologies, AI and robotics on every level of our social interactions and structures.
Adding a cancellation field to temporal interference stimulation reduces off-target effects in mouse tests and strengthens its potential for treating neurological disorders.
Stretchable materials modeled on brain chemistry allow computing devices to bend with organs and use very low power for health monitoring and prosthetics.
Study reveals that pretraining artificial intelligence on standard universe models speeds up analysis yet can cause misinterpretation when novel effects resemble familiar ones.
A full map of nerve cell connections linking the brain and nerve cord in an adult fruit fly supports new research on behavior and nervous system organization.
Why just ask AI for answers when it can evolve them? LEAPS blends LLMs and evolutionary algorithms to generate, mutate, and refine solutions like nature.
New genomic breakthrough reveals exactly where diseases strike. By decoding polygenic signals, scientists pinpoint the tissues and cell types driving illness for precision medicine.
AI agents no longer forget. EvoSC’s self-consolidation lets them learn from successes and failures, turning experience into lasting intuition — without memory overload.
Researchers at Chalmers University of Technology teach neural networks the laws of physics and electromagnetism to design light-controlling materials much faster.
Scientists at Virginia Commonwealth University create a method with nanomagnets and acoustic waves to manage electron spins more precisely for scalable quantum computing.