Introducing Nested Learning: A new ML paradigm for continual learning

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MLPerf Introduces Largest and Smallest LLM Benchmarks

Subliminal Learning: Language models transmit behavioral traits...

AlphaGenome: AI for better understanding the genome

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated...

A Unifying Framework for Representation Learning | OpenReview

Your brain doesn’t learn the way we thought, according to new neuroscience breakthrough

AI-driven weather prediction breakthrough reported

Towards an AI co-scientist

Gradio

ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via...

Bach, F. (2024). Learning theory from first principles. MIT press.

Model-Based Transfer Learning for Contextual Reinforcement Learning

Scaling Laws for Precision

The Elegant Math Behind Machine Learning

Machine Learning Might Mean Less Chip Testing

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Mapping Machine-Learned Physics into a Human-Readable Space

Zhao, T. Z., Tompson, J., Driess, D., Florence, P., Ghasemipour, S. K. S., Finn, C., & Wahid, A. ALOHA Unleashed: A Simple Recipe for Robot Dexterity. In 8th Annual Conference on Robot Learning.

ML Robustness & Engineering - Andrew Ilyas (MIT)

A way to let robots learn by listening will make them more useful

Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates

What is Sentiment Analysis?

Just How Flexible are Neural Networks in Practice?

DafnyBench: A Benchmark for Formal Software Verification

New computer vision method helps speed up screening of electronic materials

SIBYL forecasts dynamic workloads using machine learning

How AI and bionics are helping Ukrainian soldiers return to action | CNN Business

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