In underwater acoustics, deep learning may improve sonar systems to help detect ships and submarines in distress or in restricted waters. However, noise interference can be a challenge. Researchers now explore an attention-based deep neural network to tackle this problem. They tested two ships, comparing their results with a typical deep neural network, and found the ABNN increases its predictions considerably as it gravitates toward the features closely correlated with the training goals.

Athletes still have the edge over action video gamers when it comes to dynamic visual skills, a new study shows.

LEO carves out a new type of locomotion somewhere between walking and flying.

The use of blockchain technology as a communication tool for a team of robots could provide security and safeguard against deception, according to a new study. The research may also have applications in cities where multirobot systems of self-driving cars are delivering goods and moving people across town.

Researchers developed a fully-integrated robotic arm that fuses visual data from a camera and radio frequency (RF) information from an antenna to find and retrieve object, even when they are buried under a pile and fully out of view.