News

Researchers have developed a machine learning-based classifier, which utilizes metabolic profiles of serum samples, to accurately identify people with ovarian cancer.

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.

Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.

Music is often referred to as the universal language, but is musical instinct a universal human trait?

Researchers combine traditional mathematical approaches and cutting-edge machine learning methods for improved analysis of building structures.

A research team has discovered that artificial intelligence can simulate tree growth and shape. DNA inspires the application of deep learning to long-standing computer graphics problem.

A generative neural network has simulated how neural networks in the brain form and remember events, helping to explain imagination and memory.

A new framework creates better computer models of brain cells, bringing researchers a step closer to understanding neuronal variability and neural communication networks.

Cervical cancer frequently resists treatment. The researchers’ machine learning algorithm could help scientists better understand why this and other forms of cancer resist chemotherapy.

Researchers have developed a machine learning-based framework to accelerate the discovery of new green energy materials. Two candidate materials for solid oxide fuel cells have already been synthesized.