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

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

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

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

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

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

Economists trained an A.I. to detect emotion in 600,000 paintings spanning six centuries, revealing how art mirrors consumer ...

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 ...

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

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

While technology has long influenced urban development, from early computational tools in the 1950s to today’s data-rich planning ecosystems, the pace and scope of AI adoption have outstripped ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...