Driving the Long Tail: Prof. Shai Shalev-Shwartz at CVPR 2026

The hardest part of scaling autonomous driving is not just collecting more data. It is learning from the rare, safety-critical scenarios that are easy to miss inside massive datasets. At CVPR, Mobileye CTO Prof. Shai Shalev-Shwartz introduced Meteor, Mobileye’s approach to long-tail learning: using AI agents and vision-language models to discover difficult scenarios, identify reproducible failure patterns, and generate targeted variations for training and validation. Watch the presentation to see how Mobileye is tackling one of autonomy’s biggest challenges: turning edge cases into scalable intelligence. About Mobileye: Mobileye is leading the mobility revolution with its autonomous-driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems, and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields towards the future of mobility. Connect with Mobileye: WEBSITE: https://www.mobileye.com/ LINKEDIN: https://www.linkedin.com/company/mobileye/ TWITTER: https://twitter.com/Mobileye FACEBOOK: https://www.facebook.com/Mobileye/ INSTAGRAM: https://www.instagram.com/mobileye/