In D:OS2, every character and enemy has physical and magic armor bars over their health bars. The physical is reduced by ...

ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...

The brand that got me into slim denim a decade ago is finally loosening up—and I have the fit pics to prove it.

Although constipation and diarrhea may seem like opposite problems, they both hinge on the same underlying issue: how much fluid moves into the gut. These common issues affect millions of people in ...

A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

Henon today announced the release of the world's first Zero-Error Retrieval-Augmented Generation (RAG) system built specifically for unstructured data within financial workflows. The launch represents ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

NVIDIA’s Rubin platform debuts the Vera Rubin GPU with 35 PF training and 50 PF inference at CES 2026, helping teams plan faster production AI.

Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-integrated solutions, will participate in CES 2026 to present its proprietary technology stack designed to ...