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“A major overhaul”: OpenCode 2.0 puts its terminal, desktop, and web apps on one shared service39m ago Research Lessons I Learned at MATS & Redwood42m ago Applied Materials Will Double Sales, Not Headcount, Thanks to AI43m ago OpenAI Can't Self-Police Because It Fires the People Raising the Alarm49m ago Epic Games reportedly pivoting to "AI first" game development model50m ago Decisions, Decisions: A Guide To The New Wave Of AI Decision Models Besides Jev57m ago More people should write basic AI safety explainers1h ago Applied Materials Unveils EPIC Center for Collaborative Chip R&D1h ago FormFactor, Teradyne Enter Broad Semiconductor Test Collaboration2h ago Anthropic Has Told The World Little About Their Rogue Claudes2h ago Meta Unveils New Series of Advanced A.I. Models2h ago I'm a working parent who's built over 150 AI agents to help run my life. I get digital overload, but I'm getting more time back.2h ago AI governance shifts to runtime as always-on agents spread2h ago Anthropic Red Team Says Small AI Models May Soon Replicate on IoT Devices2h ago

Public Sector Computer Vision6 min reading time

The promise and peril of using visual AI to study cities

MIT AI NewsPublished 19 days ago

Read the full article

MIT researchers demonstrate how visual AI applied to city traffic cameras can precisely monitor pollution and urban dynamics, offering new insights for planners while raising privacy concerns. Their new book explores the potential and challenges of large-scale urban visual intelligence.

#kevin-lynch #mit-senseable-city-lab #routledge #urban-planning #william-h-whyte

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