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Grid Power Is Becoming the Bottleneck for AI Data Centers

News Provided by USA News Group on behalf of Host Digital Inc. NEW YORK, Sept. 29, 2026 (GLOBE NEWSWIRE) — USA News Group News Commentary – The scarcest input in AI computing is shifting from chips to the power that runs them. On Sept. 2, Vertiv agreed to pay approximately $1.45 billion in cash for […]

We haven't written up this one. Financial Post has the full story — the link below goes straight to it.

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More in AI

Title: Giving On-Call Engineers a Memory: Building On Call Memory with Hindsight

Article Production incidents have a strange property: the same ones keep coming back. A database connection pool fills up in March, a different service leaks connections in August, and each time an…

  • OnCall Memory developed to assist engineers during critical incidents
  • Agent retains 25 realistic incidents with details for reference
  • Hindsight operations enable memory retention, recall, and reflection

I Built a Tiny Neural Network From Scratch in Python — No PyTorch

I Built a Tiny Neural Network From Scratch in Python — No PyTorch I didn't want to just call model.fit() and say I understood neural networks. So I decided to build one myself. No PyTorch.

  • Created a compact neural network from scratch in Python without using PyTorch or similar libraries.
  • Implemented ReLU activation for hidden layer and sigmoid activation for output layer.
  • Trained the model using synthetic binary classification dataset with 200 samples and 3 features.

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