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Research & Science

Papers, breakthroughs and what the labs found this week.

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Research & Science arXiv cs.AI

From Grind to Grasp

Discussions of complexity, knowledge and intelligence often overlook the work involved. For example, outputs generated by short…

Research & Science AWS Machine Learning

Distributed training with Ray Train DLCs and EFA on EKS

AI summary AWS publishes a Ray Train Deep Learning Container on Amazon ECR Public that bundles Ray 2.58.0, PyTorch 2.13.0, CUDA 13.0.2, NCCL 2.29.7 and the EFA networking libraries, tested together and kept patched by AWS. A sample uses the unmodified image with KubeRay on Amazon EKS to fine-tune Qwen2.5-1.5B via FSDP on eight NVIDIA L4 GPUs spread over two g6.12xlarge instances. Settings such as GPU counts, network transport and extra Python packages are applied from outside the image, so no custom build is needed. AWS puts the cost at about $9.50 per hour while the GPU nodes run.

Research & Science Meta Newsroom

Meta Partners With Five US Universities to Accelerate Medical and Scientific Breakthroughs

AI summary Meta is giving $2 million to five American universities, among them Caltech, Indiana University and UTHealth Houston, to fund research built on its AI models in fields from medicine to mathematics. At Louisiana State University, Dr. Michael Dunham's Eyes-On project is building a camera-based system, exploring Meta's SAM models, to spot dislodged tracheostomy tubes in infants. Dr. David Crandall at Indiana is studying how conversational agents could adapt to people with dementia. An Ohio State team led by Dr. Yuan Xue aims to predict a common form of heart failure from routine abdominal CT scans and medical records.

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