Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

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

We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Artificial intelligence (AI) is transforming the life sciences industry, with potentially its most significant impact on drug ...

The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...