Dave Bartlett, CTO of SpokeSafety, talks to us about how the miniaturization and repackaging of Cellular Vehicle-to-Everything (C-V2X) allows SpokeSafety to make vehicles and other mobility devices such has bikes, scooter, skateboards, and one-wheels visible to each other, increasing road safety for everyone, even the most vulnerable. To understand the SpokeSafety and Audi partnership, please go to https://www.spokesafety.com/news.  

Dave also talks about how innovation has evolved, from his time as CTO at IBM, GE, and Panasonic.   

I encourage you to connect with Dave on LinkedIn at https://www.linkedin.com/in/davidbbartlett/ and on Twitter at https://twitter.com/davbart. 

Catch the video of this episode at https://youtu.be/q51RQaKL-oI.   

You can leave questions or comments on the podcast at JamesCo.cc or connect with me at https://www.linkedin.com/in/jmcaton/

Dr. Brian Green joins us from Santa Clara University, a private Jesuit (Catholic) University in California.  Dr. Green is the Director for Technology Ethics at the Markkula Center for Applied Ethics, the largest center for applied ethics in the US.  He works closely with many Silicon Valley and Fortune 500 companies to help them think thru the ethical implications of technology advancements.  He is a co-chair of the Responsible Use of Technology group at the World Economic Forum and is a member of the Safety-Critical AI expert group at the Partnership on Artificial Intelligence to Benefit People and Society. He also helps to convene several academic discussion groups on AI and human nature involving the Vatican’s Pontifical Council for Culture.

This is a follow-on discussion to Episode 6 (Kosher Autonomous Cars), where we discussed how a Jewish ethical framework would approach some of the life-or-death decisions that artificial intelligence  agents are now making on a daily basis. 

I encourage you to connect with Dr Green at https://www.scu.edu/ethics/about-the-center/people/brian-green/ or on LinkedIn at https://www.linkedin.com/in/brian-green-896a3b39/.

To see the interview on Youtube, go to https://youtu.be/Z7YX9vy-mX4.  

To leave questions or comments, or to ask about being a guest, reach me on my contact page at https://www.jamesco.cc.

Hear the story how the GPU evolved from a lowly graphics chip into the go-to chip for robust AI and ML workloads. Dr. Mark Moyou, Sr Data Scientist at NVIDIA  explains the history of the GPU, why it is different from the more common CPU, and how to decide when to use the GPU in an AI or IOT project. 

Mark also walks us through his personal path from the Caribbean to a PhD in the US:  how his Chemical Engineering degree helps him think differently about his data science work, how graduate school is like the supreme court, and how hustling is key to success (even when you have a "Dr." in front of your name).  

Mark is also host of the Caribbean Data Science Podcast! I encourage you to catch it @  https://www.buzzsprout.com/1824487

You can connect with Mark on LinkedIn at https://www.linkedin.com/in/markmoyou/

To leave questions or comments, or to ask about being a guest, reach me on my contact page at https://www.jamesco.cc.