A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing ..read more

A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps ..read more

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a 'sister' AI, which in turn performed them ..read more

Researchers investigated the propulsion mechanism by visualizing water flow around a swimmer during underwater dolphin-kick swimming in a water channel via particle image velocimetry. Their findings revealed that swimmers can utilize water flow and vortexes more effectively as their speed increases ..read more

The quadrupedal robot ANYmal went back to school and has learned a lot. Researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls ..read more

Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports ..read more

A new patch uses tiny needles to measure electrical signals in the human body with incredible accuracy, even when these devices are stretched or twisted ..read more

Researchers have developed artificial muscles that are lighter, safer and more robust than their predecessors. The newly developed actuators have a novel type of shell structure and use a high-permittivity ferroelectric material that can store relatively large amounts of electrical energy. They therefore work with relatively low electrical voltage, are waterproof, more robust and safer to touch ..read more

A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the 'reality gap': the difference between predicted and observed behavior from quantum devices ..read more

An international research group has engineered a novel high-strength flexible device by combining piezoelectric composites with unidirectional carbon fiber. The new device transforms kinetic energy from the human motion into electricity, providing an efficient and reliable means for high-strength and self-powered sensors ..read more