Rather, data scientists and startups are taking a greater leap – enabling machine learning to detect any potential data ... Terark’s algorithm for compression allows 200 times faster database ...

"In this paper: we proved that compression implies the best learning/understanding ... Lossless data compression by large models, Nature Machine Intelligence (2025). DOI: 10.1038 ...

Federated Learning is redefining the future of machine learning, offering a powerful, privacy-preserving alternative to ...

Unlike typical machine-learning methods ... the idea that truly understanding patterns in data enables more efficient compression, which aligns with this new CMU research. While DeepMind ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research ... including computational physics and sciences, discretization, machine learning, linear algebra, ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The rapid advancement of AI and ML technologies has revolutionized business operations ...

Developing a machine learning model requires understanding the underlying data and having a good grasp of mathematics and statistics. Deploying a machine learning model in production is typically ...

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve their performance on tasks without being explicitly programmed ...