NeuroroboticsThe Intersection of Neuroscience, Artificial Intelligence, and Robotics
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The Neurorobotics online magazine is on open access resource devoted to informing multidisciplinary researchers, developers, manufacturers and the general public about the science and technology of embodied autonomous neural systems. We focus on both biologically-inspired algorithms and computational models as well as actual neural networks. We report on advances in the embodiment of such neural systems in artificial software and hardware devices, machines, interfaces, robots, and the impact such systems are having in our lives.
University of Washington researchers have demonstrated for the first time that devices that run on almost zero power can transmit data across distances of up to 2.8 kilometers — breaking a long-held barrier and potentially enabling a vast array of interconnected devices.
A computer science approach using machine learning can predict the time remaining before the fault fails.
A University of British Columbia computer scientist has created a new software that can create a design sketch of an everyday object, addressing the challenge of accurately describing shapes. The program, called FlowRep, was designed by computer science professor Alla...
Augmented reality platform could help students discover STEM concepts through interactive experimentation
Explore! Interactive, a Purdue-related startup, is developing a platform that uses augmented reality to help K-12 students more effectively learn science, technology, engineering and mathematics, or STEM subjects, and increase standardized test scores through an...
A team of scientists from the University of Chicago designed a way to use microscopic capsules made out of DNA to deliver a payload of tiny molecules directly into a cell.
MIT engineers have now devised a way to automate the process of recording electrical signals from inside a neuron, using a computer algorithm that analyzes microscope images and guides a robotic arm to the target cell.
An international team of scientists presents a thorough review in Nature on quantum machine learning, its current status and future prospects. Language acquisition in young children is apparently connected with their ability to detect patterns.
Technology has changed the way children develop and interact with others, and while it seems to change every day, many parents are forced to keep up or get left behind. Jessica Mirman, Ph.D., an assistant professor in the Department of Psychology in the University of...