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1
Introduction
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About tinyML
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Core of technology
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Physical layout
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Design flow
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Business model
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Product line
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Human Activity Recognition
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Digital Fingerprint
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Narrow Voice
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Data Transfer
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Partnership
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Can you elaborate further on how the train neural network is converted to an AP
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Can resistors representing weights be reprogrammed
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Analog arrays vs gate arrays
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Job opportunities
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Typical number of neural network parameters
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How is neural sense better than noise cancellation
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Can neural net recognize music
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Is the digital imprint application agnostic
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Is there any correlation to neuromorphic processors
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How can we use these models
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What kind of tools can we use
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Simulations
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Direct sensor to spike converters
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Publications
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Mismatch
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More questions
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Precision
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Conclusion
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Strategic Partners
Description:
Explore the innovative Neuromorphic Analog Signal Processor (NASP) concept and technology platform in this tinyML talk. Dive into the world of neuromorphic computing and new architectures that mimic human brain systems, offering high accuracy and ultra-low power consumption. Learn about the NASP technology's major advances, including neural network operation in analog neuro cores with fixed weights and structures, and the T-compiler that transforms neural networks into analog representations. Discover how NASP chips aim to add intelligence to various sensors using artificial neurons and axons implemented with analog circuitry. Understand the hybrid core concept combining fixed neuromorphic analog cores for data pre-processing with flexible digital parts for final classification. Gain insights into applications such as Human Activity Recognition, Digital Fingerprint, and Narrow Voice, as well as design flow, business models, and partnerships in this emerging field.

TinyML Talks - The New Neuromorphic Analog Signal Processor Concept and Technology Platform

tinyML
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