The speaker will provide a primer on artificial intelligence for both technical and non-technical entrepreneurs. The following topics will be covered:
1) What is AI and how does it compare to deep learning?
2) What are AI and deep learning capable of, and what are their limits in terms of technological advancement?
4) How did AI originate and progress to it's present state?
5) How does AI work?
6) What are some barriers to entry for AI entrepreneurs and how can these barriers to entry be overcome?
7) How can AI lead to the automation of intellectual and non-intellectual tasks and processes?
8) How to identify the opportunities for AI-based automation across different industries?
9) Successful use cases of AI implemented to solve real world problems,
and more!
Please come with your questions and comments.
Agenda 6:30 pm to 7:00 pm Check In, Food, Networking Reception 7:00 pm to 8:30 pm Presentation, Q & A 8:30 pm to 9:00 pm Networking
About the Speaker: Alexander Tsyplikhin has worked in the area of machine learning for eighteen years. He holds a Ph.D. in Speech Biometrics. Alexander is with Graphcore, a company that has created the Intelligence Processing Unit (IPU) - a processor that is up to 100x more efficient for machine learning workloads compared to the fastest processors today.
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