Neurorobotics Magazine

Neurorobotics

The 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.

AI
Applying Machine Learning to the Universe’s Mysteries

Applying Machine Learning to the Universe’s Mysteries

Berkeley Lab scientists teach machines to analyze simulations of exotic subatomic ‘soup.’ Computers can beat chess champions, simulate star explosions, and forecast global climate. We are even teaching them to be infallible problem-solvers and fast learners.

Drones Learn to Navigate Autonomously by Imitating Cars and Bicycles

Drones Learn to Navigate Autonomously by Imitating Cars and Bicycles

Developed by UZH researchers, the algorithm DroNet allows drones to fly completely by themselves through the streets of a city and in indoor environments. Therefore, the algorithm had to learn traffic rules and adapt training examples from cyclists and car drivers.

ROBOTICS
NEUROSCIENCE
PHILOSOPHY
From Healthcare to Warfare: How to Regulate Brain Technology

From Healthcare to Warfare: How to Regulate Brain Technology

Ethicists from the University of Basel have outlined a new biosecurity framework specific to neurotechnology. While the researchers declare an outright ban of dual-use technology ethically unjustified, they call for regulations aimed at protecting the mental privacy and integrity of humans. The journal Neuron has published the study.

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