Michael is Founder and Chief Architect of Advanced Technologies at Cerebras Systems. Michael leads the effort to reimagine the algorithmic building blocks for the next generation of AI technologies. Prior to Cerebras, Michael was a Fellow at AMD, where he pioneered a technique of adaptive and self-healing circuits based on cellular automata that was applied toward distributed fault tolerant machines. Michael focuses his career on exploration at the intersection of natural phenomena, mathematics, and engineered machines. Michael holds a degree with majors in Molecular Neurobiology, Computer Science and Mathematics from UC Berkeley.
Accelerators, FPGA, and GPUs