Toyota Launches AI Efforts With $1 Billion Investment

Toyota will open a new artificial and robotics R&D company to be called Toyota Research Institute, Inc. (TRI) with an initial investment of $1 billion to open two locations in the United States, the automaker announced Friday.

TRI, which will make its headquarters in Palo Alto, California and establish another office in Cambridge, Massachusetts near MIT, will be led by Dr. Gill Pratt, a former academic in the field of engineering and program manager at DARPA.

“The investment is in addition to the $50 million investment over the next five years with MIT and Stanford to establish joint fundamental artificial intelligence research centers at each university,” said the automaker in a release.

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Is Stanford's Self-drifting Delorean The Back to the Future of Autonomous Driving? (Video)

I think we can all take a moment to appreciate the fine, fine work that Stanford researchers have put into making a 1981 Delorean do its own donuts in a parking lot on “Back to the Future” day Wednesday. Bravo.

But the car, dubbed MARTY (Multiple Actuator Research Test bed for Yaw control), is more than just epic clickbait for a made-up, 1980s-movie holiday. The car is display for autonomous vehicle control that can go beyond a car’s “safety limits” to exploit physics.

Or, you know, the way you disable stability control to do the same donuts in a nearby parking lot.

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Toyota Will Spend $50M Researching The Perfect Robot Car

Toyota announced Friday it would invest $50 million in research facilities at Stanford and the Massachusetts Institute of Technology to study and develop artificial intelligence for future safety and autonomous driving.

The facilities will teach computers to recognize and monitor objects — a swerving car vs. a parking one was provided as one example — on the road that drivers are too busy for because “Candy Crush.”

The joint programs at MIT and Stanford will first develop enhanced safety systems designed to “share control” with drivers and computers. Eventually, researchers believe, people will just forget that they care and give up driving to the robots.

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  • W Conrad I'm not afraid of them, but they aren't needed for everyone or everywhere. Long haul and highway driving sure, but in the city, nope.
  • Jalop1991 In a manner similar to PHEV being the correct answer, I declare RPVs to be the correct answer here.We're doing it with certain aircraft; why not with cars on the ground, using hardware and tools like Telsa's "FSD" or GM's "SuperCruise" as the base?Take the local Uber driver out of the car, and put him in a professional centralized environment from where he drives me around. The system and the individual car can have awareness as well as gates, but he's responsible for the driving.Put the tech into my car, and let me buy it as needed. I need someone else to drive me home; hit the button and voila, I've hired a driver for the moment. I don't want to drive 11 hours to my vacation spot; hire the remote pilot for that. When I get there, I have my car and he's still at his normal location, piloting cars for other people.The system would allow for driver rest period, like what's required for truckers, so I might end up with multiple people driving me to the coast. I don't care. And they don't have to be physically with me, therefore they can be way cheaper.Charge taxi-type per-mile rates. For long drives, offer per-trip rates. Offer subscriptions, including miles/hours. Whatever.(And for grins, dress the remote pilots all as Johnnie.)Start this out with big rigs. Take the trucker away from the long haul driving, and let him be there for emergencies and the short haul parts of the trip.And in a manner similar to PHEVs being discredited, I fully expect to be razzed for this brilliant idea (not unlike how Alan Kay wasn't recognized until many many years later for his Dynabook vision).
  • B-BodyBuick84 Not afraid of AV's as I highly doubt they will ever be %100 viable for our roads. Stop-and-go downtown city or rush hour highway traffic? I can see that, but otherwise there's simply too many variables. Bad weather conditions, faded road lines or markings, reflective surfaces with glare, etc. There's also the issue of cultural norms. About a decade ago there was actually an online test called 'The Morality Machine' one could do online where you were in control of an AV and choose what action to take when a crash was inevitable. I think something like 2.5 million people across the world participated? For example, do you hit and most likely kill the elderly couple strolling across the crosswalk or crash the vehicle into a cement barrier and almost certainly cause the death of the vehicle occupants? What if it's a parent and child? In N. America 98% of people choose to hit the elderly couple and save themselves while in Asia, the exact opposite happened where 98% choose to hit the parent and child. Why? Cultural differences. Asia puts a lot of emphasis on respecting their elderly while N. America has a culture of 'save/ protect the children'. Are these AV's going to respect that culture? Is a VW Jetta or Buick Envision AV going to have different programming depending on whether it's sold in Canada or Taiwan? how's that going to effect legislation and legal battles when a crash inevitibly does happen? These are the true barriers to mass AV adoption, and in the 10 years since that test came out, there has been zero answers or progress on this matter. So no, I'm not afraid of AV's simply because with the exception of a few specific situations, most avenues are going to prove to be a dead-end for automakers.
  • Mike Bradley Autonomous cars were developed in Silicon Valley. For new products there, the standard business plan is to put a barely-functioning product on the market right away and wait for the early-adopter customers to find the flaws. That's exactly what's happened. Detroit's plan is pretty much the opposite, but Detroit isn't developing this product. That's why dealers, for instance, haven't been trained in the cars.
  • Dartman https://apnews.com/article/artificial-intelligence-fighter-jets-air-force-6a1100c96a73ca9b7f41cbd6a2753fdaAutonomous/Ai is here now. The question is implementation and acceptance.