Published
At CES, the Google AIY team shared how it’s advancing AI at the edge with the new Edge TPU chip, integrated with an NXP i.MX8 processor.
Add accelerated ML to your embedded device with the Edge TPU →
Subscribe to the Google Developers channel! →
Add accelerated ML to your embedded device with the Edge TPU →
Subscribe to the Google Developers channel! →
- Category
- Tutorials
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
24:50
Click 802 : In Deep with Artificial Intelligence
-
06:29
Google And NASA's Quantum Artificial Intelligence Lab
-
40:25
Artificial Intelligence: From Social Good to Ambient Intelligence (Google I/O'19)
-
04:55
Google: Artificial Intelligence will be as important as fire!
-
05:15
Google's "RankBrain" artificial intelligence for search is better than humans
-
03:06
Can Artificial Intelligence Guess Your Age? - BBC Click
-
00:49
Too $hort vs. Artificial Intelligence: Can Chat-GPT Rap?
-
02:24
Google's Artificial Intelligence Plans
-
40:53
Building the future of artificial intelligence for everyone (Google I/O '18)
-
03:19
Training Artificial Intelligence - BBC Click
-
11:36
Artificial Intelligence over Coffee with James McLurkin
-
01:27
GTC DC 19 | Bringing Artificial Intelligence Excellence Together
-
39:15
Introducing AIY: Do-it-yourself Artificial Intelligence (Google I/O '18)
-
23:23
Putting the Art into Artificial Intelligence
-
19:38
Quantum Computing – Artificial Intelligence Is Here
-
02:58
Debating IBM's Artificial Intelligence - BBC Click
-
00:59
It’s Apple Intelligence, not Artificial Intelligence ????
-
37:44
Making Art with Artificial Intelligence: Artists in Conversation (Google I/O'19)
-
05:28
Artificial intelligence: What the tech can do today
-
03:10
How Artificial Intelligence and Neural Networks Work
-
03:06
How Will Google Protect Us From Artificial Intelligence?
-
05:28
Taiwan: Health And Artificial Intelligence - BBC Click
Loading...