Raw FPS ≠ real-world performance. If your pipeline can’t deliver end-to-end speed, even the fastest chip won’t help. Efficient #AI means optimising everything—hardware, software, and workflow. What matters most to you in AI at the edge? https://
eu1.hubs.ly/H0hSN-N0
SYSTEMS
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Optimizing AI at the Edge: Beyond Raw FPS Performance
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Improving prompts and AI topic categorization
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I think you’re right that’s probably important for this prompt working but with one more step you can make it work for paths harder to generate top-to-bottom:
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AI Democratization Reshapes Institutional Decision-Making Systems
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A lot of what’s wrong in our society is built on the idea that rules are cheap but intuition is expensive: Fast food franchises
Manualized therapy
Performance review systems Public education funding But the cost of intuition is falling every day. -

AI Model Deployment Challenges for Real-Time Robotics
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One of the very interesting challenges with AI models for robotics is the constraints you're working with when deploying models that need to run in realtime on-device.
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Future generations won’t know technology magic
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Anyone born this year onwards will only know of: + Computers as machines that make anything you ask.
+ Cars as robots that take you home.
+ Internet as universally available in the air or at sea. With no sense of magic about it at all. -
Debating async vs thread for linear agent run
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Haha we were discussing async this morning: the conclusion was since an agent's run is linear (chaining operation), it could just be put in a thread. Do you have use cases where async would be better?
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Reinforcement Learning Scales Up for Highway Traffic Smoothing
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New Blog Post: Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
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Edge AI Transforming Smart Cities: Real-World Urban Applications
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AI is quietly transforming cities—smarter traffic lights, safer streets, better parking. It’s not about flashy tech, it’s about real-time, edge intelligence. What’s the most interesting urban AI use case you’ve seen? https://
eu1.hubs.ly/H0hLd3F0 #AI #EdgeAI #selfdriving #smartcities -

IT-OT Convergence Challenges in Industry 4.0 Manufacturing
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Challenges of IT-OT Convergence >> https://
buff.ly/Ffx0h3k #sponsored #hivemq_iiot #Industry40 #SmartManufacturing @lucianilie15 via @fogoros

