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Called to serve: Tech, research, and positive impact
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He talks to program manager Weishung Liu about the influences that led to the work and more. The post Called to serve: Tech, research, and posit…
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The torch-neuronx model support Space answers that question for the most popular models on the Hub. It tells you whether a model runs unmodified on Trainium, and gives you the script to run it yourself.
Hugging FacePublished Oct 23, 2026
Cross-checked · Hugging Face BlogVerified Oct 31, 2026
AI updateAI
This post starts from scratch and assumes no prior profiling experience. The walkthrough uses AWS Trainium, a purpose-built AI chip for deep learning training and inference workloads, and TorchNeuron , its open source native PyTorch backend. TorchNeuron supports standard PyTorch workflows on Trainium, including eager…
Hugging FacePublished Oct 22, 2026
Cross-checked · Hugging Face BlogVerified Oct 31, 2026
AI updateAI
Pre-trained time-series models can forecast without training on your dataset, but you still have to choose one. A model that handles smooth industrial signals well may struggle with noisy retail demand or a long seasonal horizon, and the best choice depends on the series and the task.
Hugging FacePublished Oct 22, 2026
Cross-checked · Hugging Face BlogVerified Oct 31, 2026
AI updateAI
Today we’re releasing Old Ideas, Novel Problems , a new study of how reliably large language models can evaluate the novelty of scientific research ideas. Alongside the paper, we’re publishing a benchmark, data, and code for testing novelty judges, plus an automated pipeline researchers can use to build new evaluation…
Hugging FacePublished Oct 28, 2026
Cross-checked · Hugging Face BlogVerified Oct 31, 2026