Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a research paper in National Science Review. The team, drawing on principles from ...

Data may well present the most immediate bottleneck. Epoch AI, a research outfit, estimates the well of high-quality textual data on the public internet will run dry by 2026. This has left researchers ...

Running massive AI models locally on smartphones or laptops may be possible after a new compression algorithm trims down their size — meaning your data never leaves your device. The catch is that it ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

ETRI, South Korea’s leading government-funded research institute, is establishing itself as a key research entity for ...

Mayo Clinic researchers have developed and evaluated MedEduChat, an electronic health record (EHR) that works with a large ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...

AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...