Saideep Tiku is a Principal Systems Architect at Micron Technology. He is responsible for driving the next-generation memory and storage solutions, focusing on machine learning and artificial intelligence. His work supports Micron’s Automotive Embedded Unit (AEBU) across consumer, automotive, and industrial segments. Prior to Micron, Saideep earned his Ph.D. in electrical and computer engineering from Colorado State University, Fort Collins. His research has been published in conferences, journals, and books. He has been recognized at academic events and awarded patents for these contributions.
Generative AI is accelerating the automation of complex digital tasks, and now we are at an inflection point where multimodal perception and sensor understanding make physical AI the next frontier. This shift brings adaptive reasoning into the physical realm enabling natural interaction between humans and intelligent machines, from autonomous vehicles to humanoid robots.
While advanced self-driving systems helped pave this path, humanoids introduce a different set of constraints: long-horizon reasoning plus dexterous manipulation must run within a tight power and thermal envelope shared across compute, memory, and storage.
This presentation examines how memory and storage solutions must evolve to meet the application-specific requirements of humanoid robotics as it diverges from even the most advanced autonomous vehicles.