Motion Control/​Automation

A new machine-learning training method developed at the University of Toronto enables neural networks to learn directly from human-defined rules. The achievement supports new possibilities for artificial intelligence in medical diagnostics and self-driving cars.

This week's Question: Today's featured INSIDER story demonstrated a new achievement in artificial intelligence. According to a recently released Stanford University report developed by a standing group of AI scientists, the ability for robots to be self-determined and concerned with their own longevity is...

North Carolina State University researchers will use unmanned aerial vehicles (UAVs) and insect cyborgs, or biobots, to map large, unfamiliar locations.

Invasive surgical procedures are essential for addressing various medical conditions. When possible, minimally invasive procedures are preferred, but these technologies are often limited in scope and complexity. These limitations are due in part to mobility restrictions from the use of rigid tools in small...

The Sample Capture Mechanism (SCM) is a remotely actuated, spring-driven mechanism designed to remotely capture and seal a 15-mL sample in less than 1 second. It was used to capture a 10-g sample of simulated regolith dispensed from a drill in a...

This week's Question: World-famous physicist Stephen Hawking recently warned that the creation of powerful artificial intelligence will be “either the best, or the worst thing, ever to happen to humanity.” Hawking noted the risks of creating superintelligence with a will of its...

Northeastern University scientist Brian Helmuth and other researchers have developed "robomussels" that monitor climate change. The tiny devices have miniature built-in sensor that track temperatures inside the mussel beds.

A “programmable viscoelastic material” (PVM) from the Massachusetts Institute of Technology (MIT) allows users to program every single part of a 3D-printed object, including exact levels of stiffness and elasticity.