Deep learning is a hot topic and many companies feel they need to get started or risk getting left behind. Here are the five main steps on setting up a deep learning workflow.

The advanced engineering industries are no exception, with ‘geometric deep learning’ having potential for the biggest impact. The complexity and interconnectedness of all types of engineering systems ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science ...

Artificial intelligence (AI) and machine learning are bringing changes to the field of engineering and the responsibilities of engineers just like they have in other industries. Many of these ...

1. In a typical deep-learning development flow, training and inference are usually executed on different processing platforms. Moreover, additional training data could be collected during the ...

Deep learning gives drug design a boost Ttranslator expands metabolite prediction of chemical reactions in the human body Date: October 5, 2020 Source: ...

Deep learning — a subset of machine learning based on artificial neural networks — has greatly expanded audio generation and manipulation tools, including some that would be infeasible with ...

1. NVidiaâ s Tesla P100 GPU is designed to tackle applications like deep learning neural nets.. â DNNs require matrix number-crunching capabilities found in FPGAs and GPUs. GPUs are now the ...