By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

In the vast tapestry of the universe, most galaxies shine brightly across cosmic time and space. Yet a rare class of galaxies ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score ...

LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...

IPTEX GRINDEX 2026, India’s leading international exhibition for power transmission, precision grinding, and gear ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...