Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

In recent years, the integration of AI systems in vehicles has transformed the driving experience, enabling cars to become more adaptive and intelligent. These AI systems are now capable of learning ...

Based on all the hype around autonomous vehicles (AVs) in recent years, you would imagine that our roads would be crisscrossed by swarms of driverless cars by now, ferrying their owners to their next ...

If AIs can win at Jeopardy! and beat human champions at popular video games, how hard can it be for them to learn to drive? Trent Eady, writing in Medium, tells us that AlphaStar, a new AI from Google ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...

The mainstream approach to driverless cars is slow and difficult. These startups think going all-in on AI will get there faster. Four years ago, Alex Kendall sat in a car on a small road in the ...