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

Real-time systems and embedded computing have become foundational to modern engineering, underpinning applications from industrial automation and automotive control to aerospace and telecommunications ...

Mixed-Criticality Real-Time Systems represent an innovative class of computing platforms that integrate functionalities with varying levels of criticality onto a single shared system. This integration ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating generative AI, has been awarded a new contract from the Defense Advanced Research Projects Agency (DARPA), for the ...

Data centers have long been the backbone of the global digital economy, supporting cloud computing, enterprise applications, and the vast expansion of artificial intelligence (AI). But as digital ...

Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network. Instead of triggering ...

The rapid expansion of satellite constellations has led to an unprecedented surge in data generation, highlighting the escalating demand for high-performance computing over space. A recent article ...

Trade wars won’t break supply chains. But the consumer impact will trouble brands Global trade wars and geopolitical tensions in 2026 are not breaking modern supply ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

The public sector grapples with some of society’s most complex challenges—ranging from national security and healthcare to infrastructure management and climate change. Yet, classical computing ...