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All AI news

4 today

Sep 22

Tuesday
  1. From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

    NVIDIA held an AI ecosystem event at the Grand Egyptian Museum, with Egyptian Deep Learning Institute participation growing over tenfold in a year. Hassan Allam received a data centre licence from Egypt's National Telecom Regulatory Authority and is developing a new centre with A15 with expected investment of $400 million. NVIDIA says four African AI factories have been announced or launched, with another 656 MW under construction.

Sep 21

Monday
  1. AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

    NVIDIA argues AI security should be treated as an engineering problem, with explicit requirements, executable controls, named owners and evidence of effective protection. Its open-source NVIDIA OpenShell enforces policies outside agent reasoning and provides sandboxed execution. Cisco DefenseClaw adds governance, while JFrog integrates OpenShell to scan and validate agent skills.

Sep 19

Saturday

Sep 18

Friday
  1. Should you read the code, is RAG dead, and did Skills kill MCP?

    The latest GitHub Podcast examines five AI development memes. AI-generated code still needs reading and accountability, with review proportional to risk. Skills package team experience, while MCP standardises connections to tools and data; they can combine. RAG is not dead: it provides relevant information beyond training data and can coexist with agents, Skills and MCP in one workflow.

Sep 17

Thursday

Sep 16

Wednesday
  1. How workers are unlocking new ways of working

    OpenAI economic research finds workers use AI beyond traditional job responsibilities, with new activities becoming recurring parts of their work. It examines how employees actually expand their work with AI rather than limiting analysis to existing roles.

  2. From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

    NVIDIA introduced DSX at AI Infra Summit to improve AI-factory token throughput within a fixed power budget. Lambda validated DSX MaxLPS on a five-rack, 19-node HGX B200 cluster, running 19 nodes within the same budget as 16 at full power. Cluster token throughput rose 24%, from around four million to five million tokens per second, with performance per watt up 23%.

Sep 15

Tuesday
  1. Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

    Children's Hospital of Philadelphia (CHOP) uses MONAI, the open-source medical imaging framework co-founded by NVIDIA, to reduce paediatric heart modelling from four hours to seconds, already supporting complex ventricular septal defect surgical planning. CHOP is working with NVIDIA to integrate Newton, an open-source physics engine based on NVIDIA Warp, into SlicerHeart, reducing cardiac-device simulation from up to four hours to near real time.

Sep 14

Monday

Sep 12

Saturday