Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to new tasks. This review provides a comprehensive ...

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

Adversarial examples have raised great concerns about the security of deep learning models. Substitute training makes it possible to conduct black-box substitute attacks in real-world scenarios where ...

Can the same AI that can code for you teach you to think like a senior engineer? Anthropic is counting on it. The firm has ...

Rushing in the dark with a roller-bag suitcase to catch a train to meet her, Bue fell near a parking lot on a Rutgers ...

Yaxin Hou, Yuheng Jia, A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning, International Conference on Machine Learning, 13th-19th July, Vancouver, 2025. This is an ...

A California jury found that Meta was “eavesdropping” in women’s health data. This decision has implications on the future of health privacy.

A Meta manager explains how she thinks about hiring: curiosity and constant learning matter more than a degree ...

The announcement comes amid massive hype and significant concerns over the “generative AI” technology that can produce text, ...

From Metaverse to Machine Learning, Inside Meta’s $72 Billion AI Gamble During its annual Q2 earnings call, Meta CEO Mark Zuckerberg doubled down on AI, chasing superintelligence for everyone.

We present a quantum-in-quantum embedding strategy coupled to machine learning potentials to improve on the accuracy of quantum-classical hybrid models for the description of large molecules. In such ...