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Meta describes how an AI agent can be designed to capture the logic and expertise of domain experts, rather than simply storing documents or retrieving relevant information. The system, dubbed an "organizational secon... Context & related coverage →
Learn how Connections in Managed Deep Agents securely manage credentials, support per-user OAuth, and let agents act with each caller’s identity. Context & related coverage →
We are excited to share that Gartner has named Google a Leader in its inaugural 2026 Magic Quadrant for Enterprise AI Assistants . In this comprehensive evaluation of top enterprise AI assistant vendors, Gartner place... Context & related coverage →
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Context & related coverage →
Overshadowing Cognition's $48B Series E, Mistral's $24B Series D, Meta's Muse agent, and GPT Image 2.5. The most jam packed, feel the AGI day in the history of AI. Context & related coverage →
We’re years into a compounding revolution which could take a century, and how the AI industry should manage this. Context & related coverage →
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks Context & related coverage →
Effective enterprise data agents require search that is both accurate and fast. Earlier... Context & related coverage →
TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested container with the framework, GPU drivers, and serving laye... Context & related coverage →
Felipe Huici explains how Unikraft achieves millisecond cold boots, stateful scale-to-zero, and extreme density for sandboxing AI workloads. He discusses isolation primitives, Linux kernel optimizations, and snapshott... Context & related coverage →