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Autonomous Driving

Jun 12, 2026

Autonomous Driving

The Gist

Tesla's self-driving system got approved in Denmark while the company develops new AI chips for autonomous cars and robots. Startup Decart launched a realistic driving simulator that can generate hours of photorealistic road scenarios to train self-driving vehicles. Companies are racing to build better AI hardware and training tools as autonomous driving technology moves from labs to real roads.

Today's Stories

  1. 1

    Tesla gets approval for Full Self-Driving in Denmark, develops new AI chips

    Tesla received regulatory approval to offer its Full Self-Driving (FSD) feature in Denmark, expanding its autonomous driving capabilities beyond the US market. The company is also designing a new generation of AI chips specifically for self-driving cars and humanoid robots, according to CEO Elon Musk.

    Danish Tesla owners can now access advanced self-driving features, while improved AI chips could make Tesla's autonomous vehicles more capable and reliable for everyday drivers.

  2. 2

    Decart launches photorealistic driving simulator for training autonomous vehicles

    AI research lab Decart released Oasis 3, a simulator that generates hours of realistic driving scenarios in real-time for training self-driving cars. The system creates lifelike road conditions, weather, and traffic situations that autonomous vehicles can practice navigating without real-world risks.

    Self-driving cars could become safer and more reliable as they can now train on millions of realistic driving scenarios before hitting actual roads.

  3. 3

    NVIDIA expands robotics push with new tools for autonomous vehicles and humanoid robots

    NVIDIA launched a suite of open-source robotics tools including the Isaac GR00T platform for humanoid robots and Cosmos 3 world model for AI training. The company is targeting applications in healthcare automation, manufacturing, and autonomous vehicles with these new offerings.

    More companies will be able to build smarter robots and self-driving vehicles using NVIDIA's free development tools, potentially accelerating automation in workplaces and transportation.

  4. 4

    Qualcomm extends AI capabilities to autonomous vehicles and humanoid robots

    Chip maker Qualcomm expanded its AI ecosystem beyond smartphones to include processors for autonomous vehicles and humanoid robots. The company is positioning itself to provide the computing power needed for AI systems that operate in the physical world.

    Future self-driving cars and robots may become more efficient and affordable as Qualcomm brings its mobile chip expertise to these new markets.

  5. 5

    Procter & Gamble partners on Saudi Arabia's first self-driving hydrogen truck

    Consumer goods giant Procter & Gamble partnered to deploy Saudi Arabia's first autonomous hydrogen-powered truck for logistics operations. The project combines self-driving technology with clean energy to transport goods without human drivers or emissions.

    Companies may soon use autonomous, zero-emission trucks for deliveries, potentially making shipping faster and more environmentally friendly.

What to Watch

Tesla's new AI chips and expanding international approvals could accelerate self-driving car adoption globally. Meanwhile, improved simulation tools like Decart's Oasis 3 may help companies train autonomous vehicles more safely and quickly than ever before.

Sources

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