EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

To distill more information from training data, more parameters are introduced into machine learning models. As a result, communication becomes the bottleneck of Distributed Machine Learning (DML) ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

New research by the University of Amsterdam and Constructor University, Bremen, introduces Neural Flow Diffusion Models (NFDM). This framework enables the forward process to specify and learn latent ...

Learn six tips to make machine learning concepts understandable and engaging without oversimplifying or overwhelming them.

Accurately predicting the incoming flow rate is necessary for operators and managers at wastewater treatment plants. In simple terms, influent flow is the untreated water entering a treatment plant.

Spread the loveA data flow diagram (DFD) is a visual representation of how data flows through a system or organization. It’s a powerful tool for identifying key components, understanding the ...

What is the machine learning life cycle? As a developer or data scientist, you have an engineering process for taking new ideas from concept to delivering business value.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.