How To (and How Not To) Research A.I. with Intel’s Casimir Wierzynski

Published: July 9, 2020, 7 a.m.

Much like a child experiencing the wonder of life for the first time, there is still so much to discover when it comes to artificial intelligence. The technology is still in its infancy and those in the industry are trying to work out constraints to allow A.I. to constantly learn and gather information but give it boundaries or rules to keep it honest. Casimir Wierzynski is the Senior Director of A.I. Products for Intel and on this episode of IT Visionaries, he discusses some of the ways companies are working together to grow the technology, how encrypted data is leading them down new paths and the importance of an open-source ecosystem.

3 Key Takeaways
  • Federated learning and homomorphic encryption are two techniques used for encrypted data sharing
  • A.I. ecosystems are allowing companies to share large data sets, build models and then distribute them to the private sector
  • Open-source data is critical to the evolution of artificial intelligence

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