Optimizing AI for Japanese Robots - CitC Episode 238 episode artwork

EPISODE · Apr 29, 2021 · 14 MIN

Optimizing AI for Japanese Robots - CitC Episode 238

from Intel CitC · host Intel Corporation

sMedio’s George Tang joins host Jake Smith to talk about why the Japan-based, multi-media company looks to Intel to help with cost-effective solutions to train their facial recognition modules and cater to their scaling needs. The two discuss how Tensoflow optimizations helped improve training performance on Intel Xeon processors, the cost of cloud-based AI projects, the types of robotics products sMedio is developing, and the benefits of working with the Intel AI Builders program. Follow Jake on Twitter at: https://twitter.com/jakesmithintel

Episode metadata supplied by the publisher feed · Published Apr 29, 2021

Embed this episode

NOW PLAYING

Optimizing AI for Japanese Robots - CitC Episode 238

0:00 14:04

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Intel CitC?

This episode is 14 minutes long.

When was this Intel CitC episode published?

This episode was published on April 29, 2021.

Can I download this Intel CitC episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!