Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities in applications ranging from self-driving cars to cybernetic ...

Explore how self driving cars and autonomous vehicles use self driving car sensors, lidar radar cameras, and autonomous driving technology to perceive roads, make decisions, and enhance safety.

The discussion highlights the competition and differing approaches in the race for self-driving car dominance, with both companies acknowledging the long road ahead for full autonomy. Jensen Huang ...

Jensen Huang took the stage at the CES trade show in Las Vegas this week to make the clearest pitch yet for Nvidia Corp.’s autonomous driving technology. In doing so, the chief executive officer’s ...

[LAS VEGAS] The short history of the self-driving car industry has been littered with expensive failures and endless delays, but tech suppliers, chipmakers including Nvidia and some automakers are ...

Waymo, which was established in 2016 when Google's self-driving car development division was spun off, has already developed taxi services without human drivers and has made public its driving records ...

Autonomous trucking company Waabi raised a $750 million Series C led by Khosla Ventures and G2 Venture Partners. Uber committed an additional $250 million in strategic financing, bringing the total ...

Self-driving cars use cameras, sensors, and algorithms to navigate autonomously. Levels 0-2 are driver support, while levels 3-5 offer increasing autonomy. Investors should watch robotaxis and ...