“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 Earlier ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

Building on their Deep Learning Tools for Audacity prototype as well as prior work in music-unmixing and transcription, the IAL team is creating an open-access software framework for Audacity — a free ...

The future of engineering lies in the successful integration of geometric deep learning into design and simulation workflows. This shift offers the potential for unprecedented speed, accuracy, and ...

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.

Innovations in assistive AI and, ultimately, increased autonomy with agentic AI will redefine what engineers can achieve ...

Learning engineering has taken many forms since the term was coined by Herbert Simon back in the 1960s. Ellen Wagner, who chairs IEEE's ICICLE SIG on Learning Engineering Among the Professions offers ...

Deep-learning applications require embedded systems able to provide high computing capabilities, flexibility, availability of advanced peripherals, and high performance while operating in real time.