The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency 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 ...

New developments that will leverage a focus on cloud-native technologies, including serverless and containers, will change the level of I/O requirements. Internet egress (i.e., the on-ramps and ...

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 ...

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 ...

Computer-based learning is reshaping education by offering students the flexibility to learn at their own pace — a vital option for those whose needs may not be fully met in conventional settings. But ...

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

Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...

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.