An AI system remembers information for longer while using less power and memory, helping robots & sensor networks process ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...

Physical neural networks (PNNs) are a class of neural-like networks that make use of analogue physical systems to perform computations. Although at present confined to small-scale laboratory ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

And without that proof, no safety-critical system can be certified with a neural network in its control loop. A new theorem ...

Adrian de Wynter is an AI scientist at Microsoft and a researcher at the University of York. In addition to studying the ...

Implying chatbots have some kind of consciousness may just be a good marketing ploy by the companies involved.

Artificial intelligence is the transformative, strategic technology of the early 21st century. It is significantly reshaping ...

This study presents an interpretable AI-assisted diagnostic approach for papillary thyroid carcinoma (PTC) cytopathology by combining graph neural networks (GNNs) with knowledge graphs (KGs). Routine ...