Mobileye

NEW: Mobileye today announced plans to expand its robotaxi activities beyond supplying self-driving technology and into full ownership of an autonomous ride-hailing business.

The planned initiative, set to launch in a U.S. city in 2027, combines Mobileye’s autonomous driving capabilities with fleet operations, rider services, and mobility management into a single vertically integrated offering.

The effort adds to Mobileye’s existing model as a supplier to automakers and mobility providers.

Read more here: https://okt.to/i42vGo

The future of humanoid robotics faces a challenge: how can a robot learn a new physical task from only a small number of demonstrations?
At the Humanoids Summit 2026, Mobileye’s EVP of Humanoids, Lior Wolf, shared insights into our AI approach to humanoid robotics. It begins with a strong investment in simulation and Sim2Real technologies.

The process starts with a small number of human demonstrations, giving Mentee an initial understanding of the task and its objectives. Mentee is then trained in large‑scale simulated environments, where it can encounter a wide range of task variations before facing them in the real world.

We also use curriculum learning to progressively increase task complexity, allowing robots to master prerequisite skills before advancing to more challenging scenarios. Together with strong vertical integration across hardware and software, this approach helps create a scalable path from a limited number of demonstrations to effective real‑world task ex*****on.

See Lior’s talk with the breakdown here:
https://okt.to/7mNXsp

Building Practical AI for Humanoids - From Simulation to Reality The future of humanoid robotics faces a challenge: how can a robot ...

What comes after feature-by-feature innovation in ADAS?

A move toward integrated systems designed to work together, from sensing and decision-making to driver monitoring and interaction.

In this Nasdaq article, Mobileye looks at the industry shift toward centralized ADAS platforms and why system-level design is becoming increasingly important as automakers balance safety, regulation, cost, and performance.

Read it here: https://okt.to/TgK9Fh

On June 3 at CVPR 2026's Workshop on Autonomous Driving (WAD), Mobileye CTO Prof. Shai Shalev-Shwartz will present new research on how AI systems can automatically identify rare but safety-critical failures, understand why they occur, and generate targeted training scenarios to improve performance where it matters most.

His keynote, Driving the Long Tail: Efficient Scaling via Automatic Scenario Discovery, will explore Mobileye's latest work on scaling autonomous driving through systematic failure discovery and targeted learning.

The workshop features researchers and industry leaders from across the autonomous driving community.

📍 Room 603, Colorado Convention Center, Denver
🗓 June 3, 2026 | 3:00 PM MDT

Registered CVPR attendees can also access the workshop virtually.

Read the blog: https://okt.to/vnj0e4
View the full agenda: https://okt.to/8Uhm7u

Mobileye is honored to be named Frost & Sullivan's 2026 Global Company of the Year in the Passenger Vehicle ADAS industry for the Excellence in Best Practices category. The recognition highlights our leadership in AI‑powered ADAS solutions that address the evolving safety and scalability needs of global automakers.

Frost & Sullivan’s analysis found that Mobileye stands out in ADAS by delivering across four critical requirements – scalable architecture, cost discipline, safety credibility, and real‑world validation – through a shared technology backbone spanning from base ADAS to full autonomy.

Proud to help advance safer driving at global scale.

Read more here: https://okt.to/Hue3dW

The frontier of physical AI isn't the open road, but the long tail.

Every day there are new examples of edge cases challenging the scaling of autonomous driving. The industry needs a smarter way to scale – systems that are designed to identify the failures that matter most, understand why they matter, and systematically train against them.

Today, we're sharing how Mobileye is tackling the “long tail” problem in autonomous driving with two new proprietary AI tools: Meteor and Genario.

Rather than relying only on more data and compute, these systems are designed to identify rare but meaningful failures, understand why they happen, and systematically generate targeted training scenarios to improve performance where safety matters most.

Read it here: https://bit.ly/4wQq97Y

TÜV SÜD, the global testing, inspection, and certification organization, issued a formal recommendation for Mobileye's Safety Management System (SMS) for SAE Level 4 autonomous systems.

The recommendation followed a thorough, year-long review of our processes, policies, and the organization of safety responsibilities across AV development.

Read more here: https://okt.to/2hVugD