Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

The increasing integration of deep learning techniques in fish monitoring and aquaculture is transforming traditional practices by enabling rapid, accurate, and non-invasive analysis of underwater ...

This year's theme is "Exploring Fundamental Deep Learning Models and their Applications in Healthcare, Physics, and Autonomous Driving." The bootcamp is designed to equip both undergraduate and ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Continuum Analytics, H2O.ai, and MapD Technologies have announced the formation of the GPU Open Analytics Initiative (GOAI) to create common data frameworks enabling ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

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 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More A common lament among machine learning engineers is that, ...

Nvidia wants the artificial intelligence and deep learning markets badly. It launched its 15-billion transistor Tesla P100 chip in April for deep-learning applications. And now it is announcing two ...

The Survey: 2021 Deep Learning Applications List by eBeam Initiative members is a list of current deep learning efforts that are being used in photomask to wafer semiconductor manufacturing. Examples ...

Overview: The proper GPU accelerates AI workloads, neural network training, and complex computations.Look for high CUDA core ...

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...