At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Compensation and reimbursement plans vary widely across the healthcare system. Collections-based, dollar per relative value unit (RVU) or salary plus incentive are three of the most commonly used ...

LangChain releases Deep Agents with subagents and skills primitives to tackle context bloat in AI systems. Here's what developers need to know. LangChain has released Deep Agents, a framework designed ...

LangChain has published a detailed framework for building multi-agent AI systems, arriving as the AI infrastructure space heats up with competing approaches from Google and Microsoft in recent weeks.

Montana currently has 3.5 million acres of designated Wilderness, 3.75 percent of the state, plus another 6 million acres of roadless land that could someday become Wilderness. Instead of celebrating ...

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...

When we design a microcontroller (MCU) project, we normally leave a few port lines unused, so that last-minute requirements can be met. Invariably, even those lines also get utilized as the project ...

A critical security flaw has been disclosed in LangChain Core that could be exploited by an attacker to steal sensitive secrets and even influence large language model (LLM) responses through prompt ...

Abstract: In this paper, we propose scalable methods for Gaussian process (GP) prediction in decentralized multi-agent systems. Multiple aggregation techniques for GP prediction are decentralized with ...