While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Solana’s 2025 has proven that its builders and its culture continue to keep its ecosystem in crypto’s cultural zeitgeist.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...

UB is tapping AI’s incredible power to address global challenges by advancing education, research and outreach.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

New H-1B visa rules favor Big Tech's big salaries, limiting opportunities for startups and entry-level applicants in the job ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Neural Concept, a Lausanne-based AI company focused on rethinking how complex products are designed and engineered, has ...