While it may not yet have a complex AI model in place—sometimes the "AI" in a MAP may involve a manual process or a basic algorithm—the key idea ... An AI-ready product should integrate machine ...

OpenAI is incorporating Google's Tensor Processing Units (TPUs) for AI inference, diversifying its chip supply beyond Nvidia and aiming for cost efficiency.

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

Only a select few researchers have the skills for the hottest area in tech. Mark Zuckerberg and his rivals want to hire ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

Sensonic has combined fibre optic sensing with AI to provide real-time insights that improve rail infrastructure monitoring and safety.

Uncover how Lotto Champ works, what it costs, and whether it actually improves your lottery strategy. Read my 90 days Lotto ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Yandex's dataset enables researchers and startups to build advanced personalization features and compete with tech giants ...

A novel unsupervised machine learning algorithm for single channel source separation is presented. The proposed method is based on nonnegative matrix factorization, which is optimized under the ...