Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

New "Nota AI MoE Quantization" approach preserves model performance while significantly improving memory efficiencySEOUL, South Korea, March 5, 2026 ...

Alberto Corigliano introduces the ERC Advanced Grant project IMMENSE, which aims to overcome the challenge of developing ...

The company bills API users based on the number of tokens that its LLMs process while generating a prompt response. A token is a unit of data that comprises a few letters or characters. OpenAI says ...

Some of the biggest beneficiaries from Meta's massive budget are chipmakers. Meta recently announced two contracts with Nvidia (NASDAQ: NVDA) and Advanced Micro Devices (NASDAQ: AMD) to use their GPUs ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Online sleuths are on a mission to decode the massive Epstein file dump. The resulting chaos shows there’s a fine line ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by graphene-based composites and machine learning that let artificial skins detect ...

A proteomics data pipeline transforms raw mass spectrometry spectra into biologically interpretable protein-level ...