A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

The pharmaceutical supply chain is complex, involving procurement, manufacturing, and distribution, with significant ...

Academic skepticism and business frustration have triggered past AI winters. This time, both factors are present. But there ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

ICEYE, the global leader in Synthetic Aperture Radar (SAR) satellite operations, together with SATIM, the provider of ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering ...

SOURCES & FURTHER READING: This column was written by Santo D. Marabella with the assistance of AI Riley (ChatGPT, OpenAI, ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Overview Strong basics in math, programming, and statistics drive faster AI progressReal projects teach problem-solving better than endless tutorialsData qualit ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...