Artificial intelligence is defining a new generation of computer technology with applications that blur the boundaries between intuition, art, and science. These technologies are powered by a new paradigm: instead of handcrafting algorithms as long instruction codes, AI algorithms result automatically from applying data to models. This has direct implications on how computer hardware is designed for the new technology frontier.
Michael James examines the fundamental drivers of computer technology, surveys the landscape of AI hardware solutions, and explores the limits of what’s possible as new computer platforms emerge.
Michael James is a pioneer in geometrically mapped algorithms and the founder and chief architect in advanced technologies such as mathematics, algorithms and software at Cerebras Systems—a computer hardware company developing deep technologies to scale and accelerate machine learning by orders of magnitude for AI applications. Previously, Michael was a fellow at Advanced Micro Devices (AMD), where under his leadership, the team designed first-of-its-kind technology based on a self-healing fabric interconnect to allow reliable operation of large computer clusters, and was chief architect at SeaMicro Systems, where he specialized in real-time workload placement and routing algorithms. His experience includes the fields of computer-automated language translation, algorithms for gesture recognition, compilers, operating systems, and microcontroller design. Michael also provides advice and gives talks on a diverse range of AI topics to established Silicon Valley companies. His passion for AI comes from his roots in academia: he holds bachelor’s degrees from UC Berkeley in mathematics, computer science, and neurobiology.
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