“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 this year we ...

With over a decade of experience architecting and operating large-scale cloud environments across AWS, Azure, and Google ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

At the core of uncovering extreme events such as floods is the physics of fluids – specifically turbulent flows. Researchers leveraged a computer-vision deep learning technique and adapted it for ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

New technical paper titled “Recent advances and applications of deep learning methods in materials science” from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon ...

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized ...

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.