Our partnership with Intel and the ACA demonstrates how community colleges, government, and private industry can collaborate ...

Official signing day has taken on a whole new meaning at San Diego State and other schools, thanks to the early signing date ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

AI can automate scientific experiments quickly, efficiently and accurately – but what are we losing in the process? Here’s how to strike a balance ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

A company like General Motors, which competes in IMSA under both the Cadillac and Chevrolet brands, mostly does it to beat ...

Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

After two and a half years of work, the MLEDGE project (Cloud and Edge Machine Learning), led by Professor Nikolaos Laoutaris at IMDEA Networks, ...