Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

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.

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

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

By combining military-grade terrain analysis, automation, & real-time visualization, we’re empowering clients to ...

Ultra Fast 20Gbps USB 3.2 Gen 2×2 Camera Type C | Onsemi AR1335 Color Camera | ROI Based Autofocus and Auto Exposure | ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...

Ramen, developer of Aura, has released Aura 12.0 beta, the latest iteration of the best-in-class multi-agent AI assistant for Unreal Engine, which launched this January. Aura 12.0 introduces enhanced ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...