Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

Update to the machine learning framework for .NET developers brings new capabilities in object detection, named entity recognition, and question answering. Microsoft has released ML.NET 3.0, the ...

To meet urgent net-zero goals, the global energy system is shifting from fossil fuels to renewable sources such as solar and wind. Because these sources are intermittent, efficient storage and ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...

Major Types of Neural Nets There are many different individual neural net projects, but they can generally be split into a few key families, by form and function. Each algorithm is built for a ...

Deep learning may need a new programming language that's more flexible and easier to work with than Python, Facebook AI Research director Yann LeCun said today. It's not yet clear if such a language ...

As pressure from Chinese competitors intensifies and the EV market stalls, major U.S. and European auto manufacturers are racing to cut the cost of producing electric vehicles so they can get to the ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...