Chip technology company Arm Holdings has announced a structural overhaul, creating a new unit dedicated to physical AI as interest in the area continues to grow.
“The unit will focus on developing technology that combines AI and real-world physical activity in everything from vehicles to robots to autonomous machines,” an Arm spokesperson said. AI Business.
This news comes as interest in physical and tangible AI continues to grow, with many companies like NVIDIA Investing in developing technologies.
Physical AI is defined as systems that can operate and respond effectively to their physical environment, with particular use cases in the growing areas of humanoid robotics and autonomous vehicles.
The demand for these physical systems means companies are turning to increasingly predictable, low-latency systems, which Arm said it is uniquely positioned to provide.
“Arm offers unmatched energy efficiency and the world’s largest software developer base, making it the natural platform for building and scaling physical and edge AI systems globally,” the company said in a statement. blog post On the launch of the department. “That maturity means innovation can move faster, scale more broadly, and be deployed more safely in the real world as AI transitions from digital intelligence to physical intelligence.”
Along with physical AI, the company also unveiled dedicated business units for Cloud AI and Edge AI.
“AI is transforming every industry and reshaping what is possible,” the spokesperson said. “To stay connected to these opportunities, Arm has evolved how we organize our business where AI is happening: in the cloud, at the edge, and in the physical world.”
The Cloud AI unit will focus on supporting high-performance AI in data center compute, while the Edge AI unit will focus on on-device AI in smartphones, wearables and other embedded devices.
Arm-based chips are already being used by many tech giants. The company’s compute platform is also used to accelerate AI in Nvidia’s Physical AI stack that can “reason, plan, and optimize in dynamic environments,” according to the blog post.
The stack is being used to power robots and autonomous machines from companies including Boston Dynamics, LG Electronics and Nura Robotics.
