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Deep Learning Acceleration with MATRIX: A Technical White Paper

July 1, 2017

Deep learning and other AI development techniques are disrupting every industry in an incredible way — self-driving cars, drones, virtual assistants, more accurate medical diagnosis, automatic lead generation, better customer service, cybersecurity, and much more. By leveraging AI solutions, businesses are discovering ways to create exciting new products, cut costs, and boost profits, differentiating significantly from their competitors, and maximizing the investments they’ve made in big data infrastructure and data science talent. However, these benefits do not come without their challenges. Deep Learning and AI is not one-size-fits-all, and in order to derive the maximum benefit, it is crucial for companies to train on their own data sets and modify models and code to fit their unique use cases.

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Deep Learning Acceleration with MATRIX: A Technical White Paper