A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...
WinFetch, makes satellite radar data acquisition reproducible and lets researchers plan multi-frame InSAR studies before ...
Extracting from structure rather than generating informationThe amount of information on the internet continues to ...
The 10,000 yen you spend on your fandom activities every month. Have you ever thought about the total revenue supported by ...
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Microsoft shuts down Chinese phishing empire behind billion messages to 75,000 organizations
Microsoft phishing takedown 2026: Microsoft's Digital Crimes Unit dismantled a Chinese-language cybercriminal marketplace that hijacked Microsoft 365 cloud tenants and supplied them to three phishing ...
AI agents fail at data and code tasks not because they can't write SQL, but because they lack semantic context — the meaning of the data itself.
BEVFormer-Tiny runs its neural-network stages in one Chimera GPNPU kernel. Six camera inputs, 16.1 million cycles per frame ...
LangGraph for stateful workflows, CrewAI for role-based teams, Microsoft Agent Framework over AutoGen. Checklist inside.
Most enterprise AI agents never make it past the pilot phase—and according to Harish Gaggar, senior engineer at Credit Karma, it's rarely because ...
A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi ...
The problem is not that attribution is hard. The problem is that the methods most investigators rely on were never designed ...
The journey from Lidar to spatial AI no longer stalls at capture. A modern scanner returns millions of georeferenced points ...
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