Meta unveils V-JEPA 2, a world model trained on video to help robots predict real-world physics and act with human-like ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Meta challenges rivals with V-JEPA 2, its new open-source AI world model. By learning from video, it aims to give robots physical common sense for advanced, real-world tasks.

Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure ...

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

Mobile apps now offer practical ways to learn data science, from coding and statistics to machine learning, anytime and anywhere.Tools like QPyth ...

Bittensor’s backers say the network stands out for its subnets, which enable specialized, incentive-based marketplaces built around a specific AI or machine learning use case. DNA Fund is ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in ...

Abstract: Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If ...