A.I. News

  • Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can.
  • Engineers have built multi-legged robots capable of maneuvering in challenging environments and accomplishing difficult tasks collectively, mimicking their natural-world counterparts.
  • 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.
  • How do social conventions change? Robotic engineers and marketing scientists joined forces to study this phenomenon, combining online experiments and statistical analysis into a mathematical model that shows how a committed minority can influence the majority to overturn long-standing practices.
  • Immersive virtual reality disrupts the child's default coordination strategy, scientists show, something that should be taken into account when developing virtual reality rehabilitation protocols for children.
  • Researchers are developing artificial intelligence that could assess climate change tipping points. The deep learning algorithm could act as an early warning system against runaway climate change.

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