Earth observation nanosatellites capture high-resolution photos of the Earth in near real-time. These images increasingly support ML applications that are critical for safety and response, such as ...

TorchStore provides a distributed, asynchronous tensor storage system built on top of Monarch actors. It enables efficient storage and retrieval of PyTorch tensors across multiple processes and nodes ...

I’m training a perturbation‑prediction model using datasets managed via GEARS PertData, and I need to run multi‑GPU training with PyTorch Distributed Data Parallel (DDP). What’s the recommended way to ...

While Google disagrees, the company may have decided again that your data is its toy. Here's how to try to stop Gmail from training its AI on your email. There's no shortage of big tech companies that ...

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Prevent AI-generated tech debt with Skeleton ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

According to Andrej Karpathy (@karpathy), a recent in-depth technical analysis traces a mysterious loss curve in AI model training down to a subtle bug in the PyTorch MPS backend. The issue involves ...