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Meta Unveils New Series of Advanced A.I. Models18m ago AMD puts 32,768 CPU cores in a rack built for AI agents35m ago Smug until weirdly silent: who told us to say “I am alive”?43m ago Anthropic's Claude AI submitted false murder tip to Philadelphia police1h ago How Anthropic’s Dynamic Workflows Coordinate Claude Agents46m ago Dell’s AI partner ecosystem adapts to Silicon Valley’s build-it-yourself buyers48m ago Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan1h ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape55m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters57m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy58m ago Microsoft Research Introduces StudentSim for AI Tutor Training58m ago Why Big Tech Is Borrowing Billions to Fund AI Spending1h ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy1h ago Russia was not ready for the data center war it started with Ukraine1h 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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