Artificial intelligence (AI) is transforming the way we design chip processing units (xPUs) and accompanying sensors, as well as how we develop systems based on them. Numerous suppliers are contending for market dominance, each with differing strategies for implementing AI in silicon and accompanying software. Deep learning, currently the predominant paradigm, leverages ever-larger neural networks, initially built with vast amounts of training information and subsequently fed with equally large sets of inference data coming from image and other sensors. This brute force approach requires powerful xPUs with exponentially growing performance metrics and is increasingly limited by cost, size, power consumption and other constraints.
Today’s AI accelerators are already highly optimized, with next-generation gains potentially obtained via near or in-memory compute…but what after that? Brain-inspired, asynchronous, energy-efficient neuromorphic sensing and computing aspires to be the long-term solution for a host of AI applications. Whether for new kinds of human-to-machine interfaces, visual recognition processes currently constrained by power efficiency consideration, or new-frontier applications where real-time learning is necessary, neuromorphic sensing and computing are increasingly the superior option. As such, a decade (or so) from now they may represent a significant share of the ICs built and sold.
This webinar is co-presented by two Yole Développement analysts, Pierre Cambou and Adrien Sanchez, who will begin with an overview of neuromorphic sensing and computing concepts, followed by a review of target applications. Next, Cambou and Sanchez will evaluate the claims made by neuromorphic technology developers and product suppliers, comparing and contrasting them with the capabilities and constraints of mainstream approaches both now and as both technologies further evolve in the future. A question-and-answer session will follow the presentation.
Neuromorphic Computing and Sensing 2021
Industrial, consumer, and automotive applications are driving the adoption of neuromorphic computing and sensing technologies. The first products are now hitting the market.
Technology & Market Analyst, Computing & Software at Yole Développement
Principal Analyst, Imaging at Yole Développement
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