Artificial Intelligence Upstart Waabi Is Joining The Race To Commercialize Robot Trucks | Forbes
Waabi, an autonomous driving startup led by computer scientist Raquel Urtasun, is staffing up with veteran engineers from competing self-driving tech companies as it prepares to go head-to-head with bigger players, including Alphabet Inc.’s Waymo and TuSimple in the race to commercialize robotic trucking.
The Toronto-based company, which initially focused on developing its AI-enabled technology with an advanced driving simulator it developed, is expanding to add a team of hardware engineers to integrate sensors, lidar, vision and computing systems into trucks as it shifts to real-world testing. Led by Eyal Cohen, who was previously with Uber ATG, Otto and Apple’s vehicle program, the Waabi’s new hardware team includes Jorah Wyer, who had worked for robot truck startup Ike, Uber ATG and Apple; and JD Wagner and Paul Spriesterbach, who both previously worked for autonomous tech developer Aurora.
“Our goal is to bring self-driving trucks to the world, and trucks are physical so you need a hardware team,” says founder and CEO Urtasun, who’s also a professor of computer science at the University of Toronto. “We will expand to other things like robotaxis or last-mile delivery, but right now Class-8 trucks is where you’re going to see our efforts.”
Waabi’s news comes in conjunction with the young company’s debut appearance on Forbes’ AI 50 list of the most promising private companies in North America that are using artificial intelligence to shape the future. (Urtasun also served as a judge for the list in 2021.) The company emerged from stealth in June 2021 with an $83.5 million funding round and plans to catch up to Waymo, TuSimple and Aurora by relying heavily on cutting-edge AI tools and less of what Urtasun calls a traditional “robotics mindset” that requires vastly more data, solving an almost endless list of tasks and incalculable miles of on-road driving to train the software.
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Пікірлер: 29
The aerospace industry took the same path and develops production using simulation and then uses actual flight test not so much to test the product but rather to validate the simulation or discover cases where it is lacking. The reason for doing that is the high cost of actually flying aircraft and the limitation of what one can do with actual aircraft (that is practically) vs what one can do in a simulation.
I’d invest.
reminds me of Peter Isherwell
Cool. Fyi. Tesla already trains models with a mix of simulations and RW data
@jackabajian2
2 жыл бұрын
not only that. Now, there are over two million Tesla drivers around the world capturing real time data, which is used to train (or rather fine tune) the autonomous driving AI to make it "smarter".
Taylor in real life
Simulators have proven wrong time and time again. Miracle on the Hudson anyone?! Sully?
She’s wearing Steve Jobs outfit
Thanks, but I love to drive !! Keep your driverless cars in the lab.
Google and others gave up on self driving too much hype overestimating machine learning
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@masiathabelo
2 жыл бұрын
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@teresaryan5192
2 жыл бұрын
Declan lim technique showed me how to take advantage of the crypto market's volatility.
@gracehicks876
2 жыл бұрын
I agree with you because I've used his strategy in the past and was able to raise a total profit of 10.5 BTC in 6 weeks.
First
Until the simulation has humans 🔌 plugged into it it’s less meaningful.
I am so sorry but did you just made an episode about a company that hires woman. Is that really a competitive advantage to sustain sales growth
Lol, this 'product' and their staff is 3rd, maybe 4th rate. A non factor. This must be an AD.
@jonwik7056
2 жыл бұрын
Explain in logical sense.
why is her accent chinese
@jonwik7056
2 жыл бұрын
What abt it ?
@cyoc
2 жыл бұрын
@@jonwik7056 it sounds weird with her appearance
@jonwik7056
2 жыл бұрын
@@cyoc how tf does it sound chinese?
@niallmeade1543
2 жыл бұрын
It's European, not sure which country
@fredrickminley3855
2 жыл бұрын
Hilarious 😂