physicsai

Micron Technology Vice President Li Zhe stated at the Korea Semiconductor Exhibition SEDEX 2026 held at COEX in Seoul that the company is developing Edge Inference Memory (EIM) for physical AI. The industry expects this product to enter mass production in the second half of 2028. Micron is researching the use of EIM in LPDDR6 to meet the demand for low-power DRAM in applications such as autonomous driving and humanoid robots, and is in discussions with major customers regarding related products.According to a report by the Science and Technology Innovation Board Daily, EIM is positioned between AI chips and memory, utilizing a method of stacking LPDDR on logic chips to process inference data at high speed, although the computing architecture has not been fully disclosed. Li Zhe mentioned that current robotic AI models have about 1 billion to 2 billion parameters, with low bandwidth requirements; however, as more advanced visual language models emerge, LPDDR alone will not suffice, and HBM will eventually be used for humanoid robots. Micron anticipates that future high-performance humanoid robots will require approximately 200 GB of DRAM and 4 TB of storage, while current service robots require about 12 GB of DRAM and 256 GB of storage.Micron CEO Sanjay Mehrotra stated that the storage capacity of a single humanoid robot is about 10 times that of an ordinary L2+ passenger vehicle. The storage industry may enter a period of sustained demand growth for several decades around 2030, driven by the need to synchronize data from hundreds of sensors and run large models locally for millisecond-level control. Counterpoint Research predicts that global DRAM demand for humanoid robots will increase from approximately 8,300 Tbit this year to about 172,000 Tbit by 2030.

Physics AI simulation company Antioch announced the completion of a $32 million Series A funding round, led by Greylock, with participation from A* Capital, Category Ventures, BoxGroup, Icehouse Ventures, and angel investors.Antioch stated that AI has significantly accelerated software development, but physical autonomous systems are still limited by slow and expensive hardware development. The company provides simulation capabilities for physical AI teams to build, test, and validate systems. Its clients and partners include Amazon Ring, NVIDIA Robotics, and Nebius.Antioch claims to be rapidly expanding and is hiring for positions in simulation, infrastructure, machine learning, 3D graphics, marketing, and operations.