This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

The most simply-named product names can sometimes have the most surprising of origins. Behind two of the world’s most ...

China’s AI leaders say the US still leads on compute and chips, despite rapid progress and open-source releases, making a ...

A new humanoid robot went from concept to live factory work in just seven months — and it’s now performing real industrial ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Scientists say they've developed a breakthrough 3D wiring solution that allows a 100-fold increase in the number of quantum bits (qubits) a quantum computing chip can support. The new architecture, ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...

On May 7, 1981, influential physicist Richard Feynman gave a keynote speech at Caltech. Feynman opened his talk by politely rejecting the very notion of a keynote speech, instead saying that he had ...

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is ...