Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...

Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...

Thinking about AI and how it’s changing everything? It’s a big topic, and a lot of that change comes down to the hardware ...

Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...

Discover the top AI skills in high demand for 2026. Learn about machine learning, generative AI, and other essential ...

Polymage Labs, a deep-tech startup incubated at the IISC, has entered into a strategic collaboration with US-based Tenstorrent Inc to develop an AI compiler for the company’s accelerators, it said on ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the accurate and timely ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...