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) ...

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...

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 ...

Khaled El Emam, medical-AI research chair at the University of Ottawa, led a study to determine the degree to which synthetic ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

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

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 ...

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 ...

AI-powered tools transform digital forensics in 2025 with faster recovery, smart threat detection, and automated ...