When artificial intelligence systems began cracking previously unsolved mathematical problems, the academic world faced an ...
The Human Index Score…runs consequential decisions through a human lens so organizations can evaluate impact on people, not ...
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Organotics, a brain organoid startup, uses AI and patient-derived brain models to fast-track personalized medicine for autism and reduce psychiatric drug failure.
Researchers found Apple's in-built AI system systematically exhibits forms of racial bias and gender stereotyping when ...
From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...
Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...
Researchers, physician-scientists and cardiac surgeons are leading technological and life-saving therapeutic advances to gain a deeper understanding of cardiovascular disease.
Anil Seth, one of the world’s leading neuroscientists studying consciousness, stands at the centre of this inquiry.
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results