Gaming Machine Learning
Over the last few years, the quest to build fully autonomous vehicles has shifted into high gear. Yet, despite huge advances in both the sensors and artificial intelligence (AI) required to operate these cars, one thing has so far proved elusive: developing algorithms that can accurately and consistently identify objects, movements, and road conditions. As Mathew Monfort, a postdoctoral associate and researcher at the Massachusetts Institute of Technology (MIT) puts it: "An autonomous vehicle must actually function in the real world. However, it's extremely difficult and expensive to drive actual cars around to collect all the data necessary to make the technology completely reliable and safe." All of this is leading researchers down a different path: the use of game simulations and machine learning to build better algorithms and smarter vehicles.
Nov-28-2017, 06:15:23 GMT
- AI-Alerts:
- 2017 > 2017-11 > AAAI AI-Alert for Nov 28, 2017 (1.00)
- Country:
- North America > United States > Massachusetts (0.24)
- Industry:
- Automobiles & Trucks (1.00)
- Leisure & Entertainment > Games
- Computer Games (1.00)
- Transportation > Ground
- Road (1.00)
- Technology: