Help build the future of AI for materials science by optimizing a cutting-edge model on next-generation NVIDIA GPUs. Once you begin the digital badge series, you will have access to all the necessary ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

School of Chemical Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia Australian Centre for NanoMedicine, University of New South Wales, Sydney, New South Wales 2052, ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Department of Chemistry, Graduate School of Science, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan Molecular Photoscience Research Center, Kobe University, 1-1, Rokkodai-cho, ...

This content was written and submitted by the supplier. It has only been modified to comply with this publication’s space and style. BW Converting announces that a digital innovation initiative ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...