What Kind of AI Can Help Manufacturing Adapt to a Pandemic
What Kind of AI Can Help Manufacturing Adapt to a Pandemic


The world is constantly changing and we as humans have learned to adapt. For manufacturers specifically, the introduction of Industry 4.0 compounded with the onset of the COVID-19 pandemic has increased pressure to deliver high quality products with fewer workers on the factory floor. To keep up, many are embracing innovative technologies such as AI. In this talk, Neurala CTO and co-founder, Anatoli Gorchet, will explain how manufacturers can leverage AI to improve quality inspections. This will include a technical deep dive into how DDNs, and Lifelong DNN (L-DNN) specifically can be used to quickly process data so that it can deliver actionable insights to the end user, in this case, the manufacturer. Attendees will leave the session with a better understanding of how they can use DNNs to harness the power of data and AI to improve quality inspections in the manufacturing industry.


Anatoli Gorchet has over 20 years of experience developing massively parallel software for neural computation. He is a pioneer in applying general-purpose computing on graphics processing units to neural modeling. Anatoli has spoken at every major neural network conference as well as at GTC, DARPA, The National Institute for Aerospace and a keynote at the Embedded Systems Conference. He holds several patents, has authored over 30 publications on neural networks, and advises Fortune 500 companies on how to use AI to improve operational efficiencies. He has a PhD in Cognitive and Neural Systems, Boston University; an MS in Computer Science.

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