How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science. Generated by RSStT. The copyright belongs…

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.

You’re carrying around in your head a model of how the world works. Will AI systems need to do the same?

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and reverse-engineer the rules.

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the history of their training for insights into why these systems work the way they do.

The V-JEPA system uses ordinary videos to understand the physics of the real world.

The 1 petaflop DGX Spark system runs AI models with 200 billion parameters locally for $4K.

A new AI model matches street-level photos to aerial images in record time.

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?