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Technologies
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In physical AI devices such as robots and self-driving cars, performance depends not only on compute but also on where data is kept and how close it sits to processors. The article argues that memory must be designed around each device's needs.
TSMC, the world's largest contract chipmaker, says it will work with Sony Group and others to produce advanced chips for physical AI in Japan. Physical AI is artificial intelligence that lets robots and machines move and act on their own.
NXP's CTO Lars Reger spoke at an electronics trade show about physical AI, meaning AI that runs machines in the real world. He said purpose-built machines, not just humanoid robots, will matter most.
Intel and Altera are working together to make it easier to connect sensor data to physical AI systems such as robots. They plan to combine Altera's FPGAs (chips whose circuits can be reprogrammed) with Intel's computing and software.
CrossnoKaye built ATLAS, a platform that controls factory equipment using real-time data and AI, and AURA, an AI system that runs on top of it. Attaching AI to industrial sites, where equipment and systems from many companies are scattered, is not easy. This article describes how the company designed this structure on AWS.
Humanoid robots, self-driving cars, and drones can only move as long as their batteries last. The article explains that optimizing data movement between processors and memory is a basic way to reduce this problem. It also says next-generation memory such as LPDDR6 is becoming important for autonomous devices.
Nvidia is helping AI move into machines and processes in the real world, building on Korea's strengths in manufacturing and engineering. Samsung Electronics, Kakao Mobility, and LG Electronics are each expanding their collaboration in their own fields.
Delivery robot company Serve Robotics has opened a new business line called 'Physical AI Service' to help other companies develop robots. It plans to lend its own robot technology to outside companies. Bedrock Robotics, a company that makes self-driving construction equipment, is a customer.
To use AI widely in machines that move based on sensors, such as robots, drones, and cars, chips and entire systems must be redesigned. The article points out that problems with memory, power, specialized chip structures, and safety verification are all tangled together.
Realworld, a physical AI company that builds robot brain models, has appointed Kim Min-jung, former head of IBM Korea's consulting business, as its chief operating officer (COO). The company plans to speed up commercializing its robot technology in real-world settings and expand its overseas business operations.
RealWorld, a Korean physical AI company that develops AI models for five-fingered robotic hands, has appointed Kim Min-jung, former head of IBM Consulting Korea, as Chief Operating Officer (COO). With this appointment, the company plans to quickly expand the commercialization of its large AI models for robots and its overseas business.
Physical AI company Realworld has named Kim Min-jung, former head of IBM Consulting in Korea, as its chief operating officer (COO). Kim will oversee the operations needed to commercialize the company's technology and expand its overseas business.
Korean home services platform Miso has launched Miso Motion, a new business that collects video data of skilled workers' hands-on techniques. The goal is to help robots and AI learn real human tasks.
Home service platform Measo is unveiling 'Misomotion,' a service that collects videos of field workers' hand skills, and is entering the physical AI data market in earnest. It is a project that gathers on-site work footage so that physical AI (AI that has a physical body and moves in the real world, such as robots) can learn from it.
Moobin, an AI company that uses lidar sensors to turn human movement into 3D data, has raised a 10 billion won Series A investment. IMM Investment led the round, and existing investors joined the follow-on funding. Moobin plans to use the money to build an R&D center and grow its physical AI (AI that handles robots and other machines that move in the real world).
Audi teams are reimaginging production with digital twins and physical AI. See how production teams will build digital twins in DELMIA using LEO, a Dassault Systemes’ virtual companion and foundational knowledge from the 3DEXPERIENCE platform. With NVIDIA Omniverse libraries enabling perception and motion simulation, these digital twins become the virtual training ground for mobile humanoid robots from Agile Robots and Idealworks. Scaling the simulation to multi-robot fleets ensures safe operation and will save months in future testing of logistics processes. 📖 Read the Blog → https://blogs.nvidia.com/blog/europe-industrial-leaders-engineering-manufacturing
Amulya Vishwanath, a venture investor and former Nvidia employee, explained that robotics is still at the stage of building basic components. She said physical AI (artificial intelligence built into robots that move in the real world) is currently redesigning its underlying software and parts.
Eka Robotics may be the first robotic arm that is actually good at picking up a wide range of objects, and it is so smooth and human-like, it is wowing the industry.
Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, […]
Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products arrive, and most robots can’t keep up without significant reprogramming. Skild AI’s new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model, launched last week, uses […]
The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex streets. Deploying a driverless vehicle is one challenge. Scaling a fleet is […]
