Students will use AI. The challenge is teaching them to use it in ways that strengthen learning. Educational psychology ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

As Europe pursues AI sovereignty, the PyTorch Foundation believes the continent's greatest strength lies not just in building ...

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, the OpenInfra Foundation, which builds open source infrastructure communities, and the ...

Abstract: Deep learning, driven by large neural network models, is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, text, and ...

The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to large-scale deployment. Hiring decisions now focus on how well candidates can apply ...

Over 340,000 developers use Lightning Cloud - purpose-built for PyTorch and PyTorch Lightning. TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create ...

OpenAI acquired Torch, a healthcare startup that unifies lab results, medications and recordings from doctor visits, as the foundation artificial intelligence model company builds out ChatGPT Health.

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

Australian companies are pouring significant money into artificial intelligence, yet many remain unsure how to turn it into real strategic advantage. Boards are grappling with the pace of change, ...