Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

As artificial intelligence begins to mimic consciousness with uncanny skill, we need design norms and laws that prevent it from being mistaken for sentient beings.

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Abstract: With a widespread adoption of synthetic aperture radar (SAR) observations in Earth sciences, the volume of annual data updates has soared to petabyte scales. Consequently, the accurate ...

Abstract: Based on DL (Deep Learning) technology, this paper develops an advanced algorithm which can accurately predict the properties of materials, and applies it to the optimal design of mechanical ...