Inspired by the workings of a bat's ear, a professor of mechanical engineering has created bio-inspired technology that determines the location of a sound's origin.

Powerful algorithms can 'predict' the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found. Big data produced during decades of research was fed into a computer language model to see if artificial intelligence can make more advanced discoveries than humans.

A new context-aware system for robots is ready for implementation on the factory floor. A recent study shows the system is more efficient because it can recognize co-workers and their body shapes, and even predict their movements.

A biomedical engineer is reporting a new deep neural network architecture - to be used on a standard laptop - that provides early diagnosis of systemic sclerosis (SSc), a rare autoimmune disease marked by hardened or fibrous skin and internal organs.

A study proves that AI systems might reach higher levels of performance if they are programmed with sound files of human language rather than with numerical data labels. The researchers discovered that in a side-by-side comparison, a neural network whose 'training labels' consisted of sound files reached higher levels of performance in identifying objects in images, compared to another network that had been programmed in a more traditional manner, using simple binary inputs.