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

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

He is the lead principal investigator of the ALLEGORY study and the lead author and he has also presented the results last Friday at SLEuro. Today, Dr. Richard Furie will take us again through the ...

Earnings call UNFI's Q2 FY24 saw Adjusted EBITDA rise 23% and free cash flow up 26% YoY, even as sales declined 2.6% due to planned network optimization. Management raised full-year profitability and ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

A new portfolio-based scheduler for 3D printing could lead to denser, safer builds and reducing the number of plates used.

Abstract: Automated algorithm configuration aims at finding well-performing parameter configurations for a given problem, and it has proven to be effective within many AI domains, including ...

Abstract: In this paper, a distributed online sequential zero-gradient-sum algorithm is proposed, which is based on the discretetime zero-gradient-sum algorithm for directed networks. It also ...