EY and NVIDIA to help companies test and deploy physical AI
AI is transferring deeper into the physical world, and EY is laying out a extra structured means for companies to work with robots, drones, and different sensible units. The organisation is introducing a physical AI platform constructed with NVIDIA instruments, opening a brand new EY.ai Lab in Georgia, and including new management to information its work on this discipline.
The platform makes use of NVIDIA Omniverse libraries, NVIDIA Isaac, and NVIDIA AI Enterprise software program. EY says the setup provides organisations a clearer means to plan, test, and handle AI methods that function in actual environments, from manufacturing unit robots to drones and edge units.
Omniverse libraries assist the creation of digital twins so corporations can mannequin and test methods earlier than deployment. NVIDIA Isaac instruments provide open fashions and simulation frameworks to design and validate AI-driven robots in detailed 3D settings. NVIDIA AI Enterprise supplies the computing base wanted to run heavier AI workloads.
EY describes the platform as constructed round three foremost areas:
- AI-ready information: Synthetic information to mirror a variety of physical situations.
- Digital twins and robotics coaching: Tools that join digital and physical methods, monitor efficiency in actual time, and assist operational continuity.
- Responsible physical AI: Governance and controls that handle security, ethics, and compliance.
The platform is supposed to assist the whole lot from early planning to long-term upkeep in sectors like industrials, vitality, shopper, and well being.
Raj Sharma, EY Global Managing Partner – Growth & Innovation, says physical AI is already “remodeling how companies in sectors function and help create worth,” saying that it brings extra automation and can help decrease working prices. He says the mixture of EY’s trade expertise and NVIDIA’s infrastructure is anticipated to velocity up how companies transfer “from experimentation to enterprise-scale deployment.”
NVIDIA’s John Fanelli notes that extra enterprises are bringing robots and automation into actual settings to handle workforce adjustments and enhance security. He says the EY.ai Lab, supported by NVIDIA AI infrastructure, helps organisations “simulate, optimise and safely deploy robotics functions at enterprise scale,” which he views as a part of the following part of commercial AI.
New management and a devoted physical AI lab
EY has additionally appointed Dr. Youngjun Choi as its Global Physical AI Leader. He will oversee robotics and physical AI work and help form EY’s function as an advisor on this space.
Choi, who has practically 20 years’ expertise in robotics and AI, beforehand led the UPS Robotics AI Lab, the place he labored on digital twins, robotics initiatives, and AI instruments to modernise its community. Before that, he served as analysis college in Aerospace Engineering on the Georgia Institute of Technology, contributing to aerial robotics and autonomous methods.
A key a part of his function is directing the newly opened EY.ai Lab in Alpharetta, Georgia – the primary EY website centered on physical AI. The Lab consists of robotics methods, sensors, and simulation instruments so organisations can test concepts and construct prototypes earlier than deploying them at scale.
Joe Depa, EY Global Chief Innovation Officer, says his purchasers need higher methods to use know-how for decision-making and efficiency. He provides that physical AI requires robust information foundations and belief from the beginning. With Choi main the Lab, Depa says EY groups are starting to “get past the floor of what’s doable” and arrange the bottom for scalable operations.
At the Lab, organisations can:
- Design and test physical AI methods in a digital testbed,
- Build options for humanoids, quadrupeds, and different next-generation robots,
- Improve logistics, manufacturing, and upkeep with digital twins.
The new platform and Lab construct on earlier collaboration between EY and NVIDIA, together with an AI agent platform launched earlier this yr. Both organisations plan to develop their physical AI work to areas like vitality, well being, and sensible cities. They additionally intention to assist automation initiatives that lower waste and help cut back environmental affect.
See additionally: Microsoft, NVIDIA, and Anthropic forge AI compute alliance
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