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 ...

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) ...

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

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.