A new machine learning training method enables neural networks to learn directly from human-defined rules, opening new possibilities for artificial intelligence in fields from medical diagnostics to self-driving cars.
Developed by a team at the University of Toronto, mROBerTO (milli-ROBot TORonto) is designed for swarm-robotics researchers who might wish to test their collective-behavior algorithms with real physical robots.
Authenticity is an important trait, and zebrafish take it especially seriously. An interdisciplinary team of researchers discovered that zebrafish engage more with 3D-moving robotic models of themselves than with other stimuli.
There is the possibilty of using alternative materials - potentially any material or physical system - as computers to perform calculations, without the need to manipulate electrons like silicon chips do. And it turns out these could be even better for developing artificial intelligence than existing computers.
Researchers present a new method for 3-D printing soft materials that make robots safer and more precise in their movements - and that could be used to improve the durability of drones, phones, shoes, helmets, and more.
What happens to privacy when drones are deployed by police? What place do agbots (agricultural robots) have in ensuring food security? Whither the legal profession now that robots are performing legal tasks overseas?
The R2-D2 robot from Star Wars doesn't communicate in human language but is, nevertheless, capable of showing its intentions. For human-robot interaction, the robot does not have to be a true humanoid. Provided that it signals are designed in the right way.
A panel of academics and industry thinkers has looked ahead to 2030 to forecast how advances in AI might affect life in a typical North American city and spark discussion about how to ensure the safe, fair, and beneficial development of these rapidly developing technologies.