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

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 ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

Discover how optical fibres can revolutionize AI computing with speed, efficiency, and accuracy using the physics of light.

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution.

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