Daniel Whitenack is a co-host of the Practical AI podcast and a data scientist with SIL International. In one of our more technical episodes, we hear about Daniel’s journey from computational physics in college to using artificial intelligence for language processing. Tune in for a conversation on ethical AI, endangered languages, real-time translation, and more!Connect with Daniel:Twitter: https://twitter.com/dwhitenaWebsite: https://datadan.io/ Email: dan_whitenack@sil.orgPractical AI podcast: https://changelog.com/practicalai Gopher Slack Channel: https://invite.slack.golangbridge.org/ Mentioned in today’s episode:SIL International: https://sil.orgMultilingual AI: https://ai.sil.org Federated Learning: https://en.m.wikipedia.org/wiki/Federated_learning Microsoft Flight Simulator: https://en.wikipedia.org/wiki/Microsoft_Flight_Simulator Babel Fish: https://en.wikipedia.org/wiki/Babel_Fish_(website) Data Science with Go (GopherCon 2016): https://youtu.be/D5tDubyXLrQ Pachyderm: https://www.pachyderm.com/ Nvidia Grace Hopper: https://www.nvidia.com/en-us/data-center/grace-cpu/ Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses: https://ardanlabs.com/education/ Live Events: https://www.ardanlabs.com/live-training-events/ Blog: https://www.ardanlabs.com/blog Github: https://github.com/ardanlabs