Thrilled to announce I'll start in 2026 as faculty in Psych & CS @UAlberta@AmiiThinks Fellow!! 🥳 Recruiting students to develop theories of cognition in natural and artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (talk at @CogInterp & organising @DataOnBrainMind)
Check out NeuralRemaster with Phase-Preserving Diffusion (ϕ-PD): a parameter-free, model-agnostic reformulation that makes structure-aligned generation simple and reliable.
Huge thanks to @rowantmc@vitorguizilini@vishalm_patel and other coauthors
At TRI’s newest division: Automated Driving Advanced Development, we’re building a clean-slate, end-to-end autonomy stack. We're hiring, with open roles in learning, infra, and validation: tri.global/careers#open-posi…
So excited to be co-organizing a workshop on computational models of human road user behavior at #iavvc2025 this year! Join us! (link below)
📅 Key deadlines:
🔹 abstracts (including abstract-only & full papers): Feb 16, 2025
🔹 full papers: Mar 30, 2025
Our mission is to be the world's most trusted driver and a new study by @SwissRe validates the exceptional safety record of the Waymo Driver. Learn more: waymo.com/blog/2024/12/new-s…
ALT Comparison chart of Swiss Re overall driving population and latest-generation human-driven vehicle baselines with Waymo's liability insurance claims for property damage (left) and bodily injury (right)
Excited to share that I will be joining @Princeton as an Assistant Professor in ECE & Robotics next academic year! 🐯🤖
robo.princeton.edu
I am recruiting PhD students for the upcoming admissions cycle. If you are interested in working with me, please consider applying.
Part of being a good driver is driving defensively while reasoning about things occluded from your view, and reacting quickly to any sudden changes in the scene. This is exactly what we’ve trained the @Waymo Driver’s AI to do and happy to see validation in real-life scenarios.
I’m happy to share that I’ve started a new position as Assistant Professor at The University of Toronto! I'll lead the Learning, Embodied Autonomy, and Forecasting (LEAF) Lab. Find us at leaf-lab-utoronto.github.io
Everyone can hail robotaxis in SF now, no more waitlists or invite codes, the Waymo One app lets you summon robot cars anytime, anywhere here: waymo.com/blog/2024/06/waymo…
We’ve avoided a meaningful number of injuries over @Waymo’s 10M rider-only miles. Sometimes a specific instance can be more eye-opening than the stats. We’re not perfect, but our driver never gets distracted and can react faster than a human.
From waymo.com/blog/2024/05/fleet…
Some fun videos on how Waymo's fleet response works: how human agents can inform or guide Waymo vehicles in ambiguous situations:
waymo.com/blog/2024/05/fleet…
Leveraging AI for semantic understanding of complex driving scenes is a key capability of the #WaymoDriver. Check out this example of it autonomously interpreting and adhering to a police officer directing traffic in Los Angeles.
Rodney Brooks' annual predictions for robotics and AI:
rodneybrooks.com/predictions… While there's many predictions on twitter, I love that Rodney timestamps and dates his predictions, and later scores past predictions, to help gauge confidence in his future predictions
We’re thrilled to sponsor this year’s ML for Autonomous Driving Symposium on December 14. ML4AD 2023 will see researchers, industry experts, and practitioners come together to redefine the future of autonomous driving technologies. Join us in New Orleans! ml4ad.github.io/
ALT Machine Learning for Autonomous Driving Symposium on December 14, 2023 at the HIlton Garden Inn New Orleans Convention Center, collocated with NeurIPS