This post was contributed by Intel AI in partnership with the PyTorch Foundation.

PyTorch offers insights into deep learning, neural network modeling, and machine learning research, providing documentation, tutorials, and best practices for building and training models with PyTorch framework. By exploring PyTorch's curated content, developers can learn about tensor computations, autograd mechanisms, and model deployment strategies for solving complex problems in computer vision, natural language processing, and reinforcement learning. Whether you're a researcher, practitioner, or enthusiast, PyTorch offers resources to advance your understanding of deep learning and push the boundaries of AI innovation.

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The post discusses how PyTorch and Intel AI can help achieve Sustainable Development Goals, including pinpointing dinosaur bones, wildfire prediction, and identifying crucial minerals. It also highlights the workshops on dinosaur bone bed maps, seismic data modeling, and wildfire prediction.

Achieving Sustainability Goals with PyTorch and Intel AI

SDG 9: Industry, Innovation, Infrastructure

Session 1: Introduction to Dinosaur Bone Bed Maps

Session 2: Seismic Data to Subsurface Models with OpenFWI: Training an AI Model with PyTorch

Session 3: Using PyTorch to Aid Wildfire Prediction