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 ...

The acquisition and expression of Pavlovian conditioned responding are shown to be lawfully related to objectively specifiable temporal properties of the events the animal is learning about.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

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

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: “big data,” “data science,” and now “AI.” ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in computing.

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