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Anthropic Alum and Former METR COO Raise $40M to Certify Rogueβ9
AIUC raises $40M Series A to certify AI agents against rogue behavior, bringing SOC 2-style safety audits to enterprises deploying AI models and agents.
Creating AI Value with Enterprise Context: Why a Company Brainβ9
Discover how a company brainβa unified, governed layer of enterprise contextβpowers more accurate, cost-effective AI and autonomous agents.
Exa Launches Agent Ultra: A Subagent Swarm Deep Research APIβ9
Exa launches Agent Ultra, a subagent swarm deep research API for exhaustive list building. It outperforms Opus 5.5, GPT-6 Astra, and Perplexity Agent across fou...
AI Agents Donβt Need More Context β They Need Typed Contextβ10
Why AI agents fail from type confusion in promptsβlearn how typed context prevents instruction contamination and improves observability.
The AI Agent Engineer's Guide: 60 Patterns for Buildingβ10
Master 60 AI agent design patterns across 8 core capabilities to build autonomous systems efficiently, moving beyond domain-specific templates into reusable arc...
Jigsaw Jeeves: Building a Puzzle Assistant with Computer Visionβ10
Meet Jigsaw Jeeves: an AI puzzle assistant using computer vision to suggest piece placement, reduce frustration, and restore the joy of solving.
EGGHead: Efficient Generalizable Gaussian Heads from a Single Imageβ9
EGGHead generates photorealistic, generalizable 3D Gaussian heads from a single image in one forward pass, using semantic-aware Gaussian allocation for fast, ef...
Chip Scaling Moves Beyond the Transistor: What 2026 Holdsβ9
As transistor scaling hits physical limits, the semiconductor industry is redefining progress through backside power delivery, advanced packaging, and system-le...
Nace AI Unveils Drex Max: A Multimodal Decision Model forβ9
Nace AI launches Drex Max, a multimodal decision model for computer-use agents that returns calibrated probabilities instead of text, scoring 67.59 on Decision ...
DeepSeek-V4.1-Flash Launches with 1M Context, FP4 KV Cache, andβ9
DeepSeek-V4.1-Flash launches with 1M context, FP4 KV cache, and cross-layer attention reuseβcutting KV memory to 890 bytes per token for input-heavy agent workl...