Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...

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 ...

Nancy Butler Songer discusses what children need to understand about data and computing in our complex technological world ...

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 ...

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 ...

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 ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

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.