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Toyota Will Invest $50 Million in Artificial Intelligence to Reduce Crashes, Injuries and Deaths

We really don't want you to start the day in a Terminator mood, but robots seem to have a future since the auto industry might rely more and more on artificial intelligence to assemble and provide better cars.
Toyota Mirai 1 photo
Although robots - or robotic arms, to be more precise - are not a novelty for the world's carmakers, further research is being carried out in this direction.

While I am writing this, I can't help but think of the photo shared on Twitter by Tesla Motors CEO Elon Musk, showing a sea of robotic arms ready to assemble the brand's electric cars, namely the Model S and the upcoming Model X crossover.

Leaving that aside, let's discuss the topic that brought you here in the first place: Toyota's hefty investment in artificial intelligence.

As we were telling you, the Japanese giant is ready to invest $50 million in computer science and human-machine interaction, although their goal is not to produce more cars in a shorter amount of time.

Toyota wants to use the cash injection to come up with ways of reducing highway injuries and fatalities.

"We will initially focus on the acceleration of intelligent vehicle technology, with the immediate goal of helping eliminate traffic casualties and the ultimate goal of helping improve quality of life through enhanced mobility and robotics," said Kiyotaka Ise, TMC Senior Managing Officer and Chief Officer, R&D Group.

But Toyota will not be alone in this endeavor. Their engineers will be joined by researchers and scientist from MIT and Stanford.

Some of you might know this, but for those who don't, we'll mention that Toyota has been developing robots for industrial use since 1970, besides their work in the green car area.

The result of the investment - if everything goes according to plan - will allow Toyota to produce advanced architectures for their models. Therefore the cars will be better at making safe driving decisions, as well as recognize objects on the road and predict the behavior of those around the vehicle.

 
 
 
 
 

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