This is why many manufacturers are rethinking where AI decisions happen, not just how good those models are. The shift is moving decision-making to the edge of the network, inside the factory itself. That means:
→ No dependency on distant cloud infrastructure
→ Ultra-low
MACHINE LEARNING
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Manufacturers shift AI decisions to edge in factories
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Cloud latency problem in AI defect detection
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Here’s how the hidden latency problem works. A production line runs 24/7. Cameras inspect products in low-latency production environments. AI detects defects. But if that decision happens in the cloud, here’s what occurs:
→ Data leaves the factory → Gets sent to a remote -
NVIDIA Achieves Leading Agentic Coding Performance on AI
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NVIDIA Achieves Leading Agentic Coding Performance on Agentic AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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OpenAI profitable on customers; automating AI research to cut training costs
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If the leaked financial data is right, OpenAI is profitable on serving customers with 40%+ gross margins. But training remains incredibly expensive. Automating AI research may also be a play to increase the efficiency of training: a superhuman researcher could do more with less.
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Testing same prompt on 5 models using PromptDeck rewrites
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Same input: "a lighthouse keeper in a storm" First: raw prompt into all 5 models.
Output: PromptDeck's per-model rewrite. We're getting useful tips and explainers per model output. retool -
GLM-5.2 max third best model, open source fundamental
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GLM-5.2 max is currently the third best model available, among open and proprietary options. And it's fantastic. Open source is fundamentally important and must continue to occupy a strong position so that everyone has alternatives.
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Humanoid robots move from demos to deployment with Physical AI
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Humanoid robots are moving from demos to deployment, and Physical AI is the reason.
— Bernard Marr (@BernardMarr) 17 juin 2026
Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people.
In this… pic.twitter.com/48jA6OrxKUHumanoid robots are moving from demos to deployment, and Physical AI is the reason. Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people. In this
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Few understand the difficulty of the HF team, many complain about $9
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Yeah, not enough people understand how hard it is to do what the HF team does at scale (and they start complaining as soon as they're asked to pay $9 a month haha)
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Enhancing School Efficiency: Automating Administrative Tasks with AI
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Enhancing School Efficiency: Automating Administrative Tasks with #AI
by @antgrasso #ArtificialIntelligence #MachineLearning #ML