Consider a machine learning technique like deep learning, where each individual “neuronal” computational action is fairly simple but aggregated over several neurons and iterated through several computation cycles can solve complex problems like image recognition and machine translation. What if we swapped out neurons for people? What kinds of complex problems could we solve? Omoju Miller offers a new vision for the global brain, where we harness human action for a better future.
Omoju Miller is a machine learning engineer at GitHub. Omoju has over a decade of experience in computational intelligence. Apart from her work in AI, she has co-led the nonprofit investment in computer science education at Google and served as a volunteer advisor to the Obama administration’s White House Presidential Innovation Fellows. She is a member of the World Economic Forum Expert Network in AI. Omoju holds a PhD from UC Berkeley.
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