Automotive

Teaching cars to drive with foresight

Good drivers anticipate dangerous situations and adjust their driving before things get dicey. Researchers at the University of Bonn now also want to teach this skill to self-driving cars. They will present a corresponding ...

Putting the power of a film director in an autonomous drone

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 ...

Engineering

One day, a plane could give you flying lessons

Vehicles make more decisions for people than we might realize – and they have been for a while. Just nine years after the Wright brothers successfully flew the first plane in 1903, autopilot was invented. Cruise control ...

Robotics

A social robot to enhance children's handwriting skills

Researchers at CHILI Lab (Ecole Polytechnique Fédérale de Lausanne) in Switzerland and GAIPS Lab (University of Lisbon) in Portugal have recently developed an autonomous system designed to assist children in improving their ...

Robotics

Teaching robots what humans want

Told to optimize for speed while racing down a track in a computer game, a car pushes the pedal to the metal … and proceeds to spin in a tight little circle. Nothing in the instructions told the car to drive straight, and ...

Engineering

'Neural Lander' uses AI to land drones smoothly

Landing multi-rotor drones smoothly is difficult. Complex turbulence is created by the airflow from each rotor bouncing off the ground as the ground grows ever closer during a descent. This turbulence is not well understood ...

Machine learning & AI

Defining blameworthiness to help make AI moral

Say 100 people live near a lake. If at least 10 of them overfish this year, the entire fish population will die out. Each assumes at least 10 others will overfish, and there won't be anything left to fish in the coming years.

Automotive

Identifying artificial intelligence 'blind spots'

A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world. Engineers could ...

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