A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...
Princeton scientists found that the brain uses reusable “cognitive blocks” to create new behaviors quickly.
AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Physical activity has emerged as one of the most potent behavioral interventions influencing brain function, learning, memory, and a wide range of cognitive ...
A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...
A research team led by Dr. Àlex Bayés, Head of the Molecular Physiology of the Synapse Group at the Institut de Recerca Sant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback