The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Deep Learning for Computer Vision is a hands-on course that guides you through the foundational and advanced techniques which drive modern computer vision applications—from image classification to ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make decisions ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Data centers use an estimated 200 terawatt hours (TWh) of electricity annually, equal to roughly 50% of all electricity currently used for all global transport, and a worse-case-scenario model ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Whether working on a project after school or taking a class online, students in both K-12 and higher education need to be able to quickly and easily access school resources from their own devices.

WASHINGTON — Learning experiences in computing that are designed with attention to K-12 students’ interests, identities, and backgrounds may attract underrepresented groups to computing better than ...

Overview  Quantum computing skills now influence hiring decisions across technology, finance, research, and national security sectors.Employers prefer cand ...