Intel executive Yifat Siminovski, formerly employed by the National Cyber Directorate, brings expertise in AI to the position, committee says The post Over Netanyahu’s objections, Central Elections ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

January, months before the annual Academy Awards are held, then final voting occurs soon before the show. Here's everything ...

Researchers at OpenAI and Ginkgo Bioworks showed that an AI model working with an autonomous lab can design and iterate real ...

Abstract: A novel dynamic inner manifold learning algorithm based on forward selection component variables (FSV-DiML) is proposed for industrial process monitoring. The method begins with forward ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Romanian deep-tech and air security company Qognifly secured EUR 2 million in its first external financing round to build a factory in Bucharest and accelerate the industrial production of drone and ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Abstract: Nonlinear and non-Gaussian characteristics are common in industrial processes. Artificial neural correlation analysis (ANCA) is a good nonlinear process monitoring algorithm, which combines ...