News by Subject Technology & Engineering

A recent study finds that people are likely to blame robots for workplace accidents, but only if they believe the robots are autonomous.

MIT engineers have found a way to significantly speed up the planning process required for a robot to adjust its grasp on an object by pushing that object against a stationary surface. Whereas traditional algorithms would require tens of minutes for planning out a sequence of motions, the new team's approach shaves this preplanning process down to less than a second.

We may listen to facts from Siri or Alexa, or directions from Google Maps or Waze, but would we let a virtual agent enabled by artificial intelligence help mediate conflict among team members? A new study says not just yet.

Commercial drone products can tackle some automated tasks, but one thing those systems don't address is filming artistically. A team led by Carnegie Mellon University researchers has proposed a complete system for aerial cinematography that learns humans' visual preferences. The fully autonomous system does not require scripted scenes, GPS tags to localize targets or prior maps of the environment.

Researchers at Penn State have developed a machine learning system that may be able to warn doctors and patients about possible negative side effects that might occur when drugs are mixed.