A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

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 ...

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

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 ...

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) ...