Mark Esposito and coauthors model a structured human-data sector as a distinct input into production that accumulates a reusable AI capability stock. The authors, too, provide an empirical roadmap "to ...

As AI adoption accelerated across industries, deploying a chatbot to support a newly launched internal application seemed like a logical decision. However, the application itself challenged ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

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.

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

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

Morgan Stanley Technology, Media & Telecom Conference 2026 March 4, 2026 11:30 AM ESTCompany ParticipantsMichael Berry - ...

New protections inspect documents, metadata, prompts, and responses before AI models can be manipulated Indirect prompt ...

Why Most Retrieval-Augmented Generation Systems Fail Online Retailers — And the Practical Fixes That Turn Customer Interactions Around ...

According to new technical analyses from Google and mobile security firm iVerify, Coruna's technical core comprises five complete exploit chains and 23 distinct iOS vulnerabilities that ...

AI algorithms are increasingly developed to monitor vector populations based on either photos or sounds. However, the real-life accuracy of the models is highly dependent on the training data.