Raquel Urtasun, Professor at the University of Toronto

Waabi’s CEO and founder is Raquel Urtasun. In addition, she co-founded the Vector Institute for AI and holds a full professorship in the University of Toronto’s Department of Computer Science. She served as Uber ATG’s Chief Scientist and Head of R&D from 2017 to 2021. She held a Canada Research Chair in Machine Learning and Computer Vision from 2015 to 2017; she left the position to work for Uber. She was an Assistant Professor at the Toyota Technological Institute at Chicago (TTIC), a University of Chicago-affiliated academic computer science institute, prior to this. She also spent the spring semester of 2010 as a visiting lecturer at ETH Zurich. She completed her postdoctoral studies at MIT and UC Berkeley after earning her bachelor’s degree from Universidad Publica de Navarra in 2000 and her doctorate from EPFL’s computer science department in 2006. She is interested in robotics, artificial intelligence, computer vision, machine learning, and remote sensing. Her lab received NVAIL status from NVIDIA. She has won two NVIDIA Pioneer Research Awards, a Fallona Family Research Award, a Google Faculty Research Award, an Amazon Faculty Award, an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, a Connaught New Researcher Award, and two Best Paper Runner up Prizes at CVPR in 2013 and 2017, respectively.

“Self-driving is one of the most exciting and important technologies of our generation. Once solved at scale, it will change the world as we know it.”

2023

Today, Waabi and Uber Freight announced a strategic alliance to hasten the large-scale, safe implementation of AI-powered autonomous trucks. In order to provide the first-ever complete driver-as-a-service solution, Uber Freight’s extensive logistics infrastructure, marketplace technology, and autonomous trucking operations experience are paired with Waabi’s core technology, the Waabi Driver.

The integrated solution can greatly boost asset utilization and boost profitability for carriers of all sizes by giving them the services and infrastructure they need to install, operate, and manage their autonomous assets with simplicity. In order to make sure the technology will have a significant long-term impact on shippers and carriers, the two businesses also plan to deploy billions of miles of Waabi Driver capacity alongside carrier partners on the Uber Freight network over the next 10 years.

Waabi Driver trucks have been put on the Uber Freight network, providing Uber Freight clients with early access to autonomous freight capacity, in order to collect important data for the collaborative solution. The first of the autonomous commercial loads ran this week; they will run on a regular basis between Dallas and Houston, providing Uber Freight’s thousands of shippers and carriers with an opportunity to learn more about what the future holds for supply chain operations and how autonomous trucks can enhance network efficiency. Commercial activities will swiftly spread to additional important routes in Texas and abroad as the relationship develops.

Latest news about Raquel Urtasun

• BitBoy Crypto’s founder, Ben Armstrong, has issued a tearful apology following his removal from the platform. Armstrong admitted to substance abuse and having an affair, but clarified that he didn’t use cocaine or meth. He also acknowledged that he structured his company in a way that didn’t give him total control over it. Armstrong credited the dedicated team for the success of HIT Network’s brands, including Voomio, Bit Boy Academy, and Crucial Crypto.
• South Korea’s Incheon National University has developed an AI system that improves self-driving cars’ ability to spot and avoid obstacles in bad weather or on tricky roads. The system uses an IoT-enabled deep learning-based 3D object detection system, enhancing the cars’ ability to navigate through traffic. The system, tested on the Lyft dataset, achieved 96% accuracy for 2D detection and 97% for 3D detection.

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