Nvidia’s former senior director of robotics research, Dieter Fox, introduced this month that after virtually eight years with the AI chipmaker, he had joined the Allen Institute for AI non-profit research institute as a senior research director, and was constructing a robotics workforce.
Mr. Fox famous the workforce he was creating can be centered on basis fashions for robotics, “drawing on Al2’s strengths in language, vision, and embodied reasoning.”
“After nearly eight years at NVIDIA, I’m excited to share that I’ve started a new chapter. I still vividly remember meeting Jensen Huang at CVPR 2017 in Hawaii-a conversation that helped spark what became a remarkable journey. Since then, NVIDIA Robotics has grown from a small research effort into a significant force in both industrial and humanoid robotics,” mentioned Mr. Fox in a LinkedIn submit.
He joined Nvidia in 2017, in response to his profile.
Nvidia just lately grew to become the world’s first public firm to safe a price of $4 trillion, amidst the Generative AI increase and an exploding demand for superior {hardware} that powers the complicated AI fashions Big Tech corporations are racing to construct.
Mr. Fox hailed Nvidia’s “world-class robotics research team,” which is engaged on areas akin to object manipulation, movement technology, simulation-based coaching, human-robot collaboration, artificial knowledge technology, and generative Al for robotics.
“I’m confident the team will continue to thrive under the leadership of Yash Narang,” he added.
Mr. Fox famous that his new workforce at Al2 was searching for “exceptional researchers, engineers, and interns” who had expertise with vision-language fashions, simulation and planning, and large-scale coaching for reasoning and management.
He can be a professor on the University of Washington and can proceed to show, per his LinkedIn account.
Robotics represents the following stage for a lot of AI technologists who’re working to see how advances in AI massive language fashions (LLMs) might transfer past chatbots and as a substitute be utilized throughout varied mechanical use-cases to attain actual life outcomes.
“Developers are taking advantage of NVIDIA Robotics’ full-stack, accelerated cloud-to-edge systems, acceleration libraries, and optimized AI models to develop, train, simulate, deploy, operate, and optimize their robot systems and software like never before,” mentioned Nvidia about its robotics-focused choices on its web site.
