Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge ...

How the hackathon winners across APAC used Snowflake and AI to tackle real-world challenges in education, inventory ...

The shift in 2026 moves away from building foundational language models toward integrating them into commercial software. Students are searching for applied engineering courses that teach API ...

Google reported the first confirmed AI-assisted zero-day exploit, raising new concerns about logic flaws, supply chain risk, and containment.

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...

Researchers from the Universidad Politécnica Salesiana in Ecuador have developed an interactive analytical framework designed to help universities move digital transformation from broad strategy ...

Candidates can fake skills, but not judgment — yet most companies still test the wrong thing and wonder why talent fails.

For decades, the corporate world has sold professionals a linear dream.\xa0 You join a firm as a junior analyst, you wait, you learn, you climb, and eventually, you claim a corner office.\xa0 That ...

Nvidia’s Vera CPU finished ahead of AMD EPYC and Intel Xeon in early benchmark results shared by phoronix. Nvidia controlled the workload list for that session and blocked power and frequency ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.