Embedded Computing Design

When content gets posted to Embedded Computing Design that’s latest “The Basics of …” or “XYZ 101,” the content usually gets tons of page views. I always wondered why that was the case. Are our engineers not as knowledgeable as we think? Are they just checking to make sure their assumptions are correct? I decided this would be a good topic for Vin, who teaches classes in some of these basics. Check out this edition of DevTalk with Rich and Vin to see the response.

Are you wondering what would be considered a practical application for AI at the endpoint (the place where the data is captured)? Well, you’re in luck, because Rich is moderating a panel at Renesas’ AI Live virtual conference that specifically covers that topic. 
 

Seemingly, if you've read any news report that touches on the technology sector, there’s some mention of artificial intelligence. But too often, we hear people talking about AI as an application, and that’s wrong, just like the IoT is not an application.

AI seems to be omni-present. It’s in the news, it’s in our classrooms, and it’s certainly in our engineering labs. But are we spending too much time discussing the technology that’s the current “new thing,” or is it really the greatest technology of our lifetime?

While Rich and Vin usually believe they all the answers to all the design-related questions, that may not always be the case. For example, when the question of where to begin your AI-based design came up, the “experts” felt in was prudent to bring in someone even more expert. In this case, that was Stuart Feffer, of Renesas.

Fill a room with university professors and industry people, and the conversation quickly finds its way to ?Why can?t academia better prepare their students for industry??