Computer Sciences

Bringing human-like reasoning to driverless car navigation

With aims of bringing more human-like reasoning to autonomous vehicles, MIT researchers have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.

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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Self-driving vehicle service in Frisco, Texas, to start in July

The beat goes on, no turning back, as engineers and AI thinkers get us closer to alternative ways to move around that do not depend on human drivers. Drive.ai has announced an on-demand self-driving car service in Frisco, ...

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Self-driving cars and humans face inevitable collisions

In 1938, when there were just about one-tenth the number of cars on U.S. roadways as there are today, a brilliant psychologist and a pragmatic engineer joined forces to write one of the most influential works ever published ...

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Are autonomous cars really safer than human drivers?

Much of the push toward self-driving cars has been underwritten by the hope that they will save lives by getting involved in fewer crashes with fewer injuries and deaths than human-driven cars. But so far, most comparisons ...

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Researchers discuss self-driving car knob settings for ethical choice

(Tech Xplore)—Learning what the technology will do on your driverless car of the future is not the most daunting task to think about. The really difficult question is the what-if in any scenario where the car would need ...

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