This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding ...

Emerson has introduced a new software-driven system designed to improve the testing of aerospace and defence radio frequency ...

The $25B initiative could redefine chip manufacturing at scale, but supply constraints and long timelines likely mean IT ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Security researchers have identified a vulnerability in Google’s Vertex AI agent framework that could allow attackers to ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Zapier reports just-in-time learning involves acquiring specific knowledge exactly when needed, enhancing efficiency and ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Chroma’s Context-1 is a 20B retrieval-augmented model that beats ChatGPT 5 on search, using agentic loops to improve relevance at low latency.