Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models ...

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

While insured losses from natural catastrophes dropped in 2025 from 2024, Willis has warned that the apparent respite masks a ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Drawing on findings from the Time Use Survey (TUS) conducted by the Ministry of Statistics and Programme Implementation (MoSPI), the Survey noted that women continue to shoulder a disproportionate ...

The country’s growth has become increasingly expensive to maintain, and its dividends are reaching ordinary households with ...

SAN FRANCISCO, Jan 29 (Reuters) - Apple on Thursday said it has acquired Q.ai, an Israeli startup working on artificial ...

AI accelerates analysis but lacks grounded, contextual insight; scientists must balance human creativity, ethics, oversight.