A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

The Shanghai-based company launched at HK$165 per share and reached peaks of HK$330, valuing the firm at approximately $13 ...

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

This gives me a unique vantage point from which to evaluate coding assistants’ performance. Until recently, the most common ...

Across 2025, researchers documented a series of AI-related security risks, some already exploited in the wild, others ...

Discover how an AI text model generator with a unified API simplifies development. Learn to use ZenMux for smart API routing, ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...