News

A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.

Research indicates the existence of an efficient process of sensory coding in rats, suggesting a general principle for optimal use of computational resources.

Scientists believe they may have found a way to reverse an aggressive, treatment-resistant type of breast cancer into a less dangerous kind that responds well to treatment.

The recently discovered earthquake type are slower than conventional earthquakes. Their existence supports a scientific theory that until now had not been sufficiently substantiated by measurements.

A new study shows that researchers can remotely control the brain circuits of numerous animals simultaneously and independently through the internet.

A machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions.

In a report in Nature, researchers describe the development of a neural network that “hallucinates” proteins with new, stable structures.

Many deep learning models don’t understand the entangled relationships between individual objects. Researchers have now developed a model that understands the underlying relationships between objects in a scene.

Researchers are using DeepMind's artificial intelligence to develop fundamentally new techniques in mathematics.

Researchers aim to create more complete and precise standards for algorithms that seek to recognize musical emotions perceived by listeners. In the future, these algorithms could be beneficial to regulate emotions through music or in learning applications.