Hardware Acceleration for AI at the Edge

One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and more...
One thing you really have to consider when bringing Artificial Intelligence to the edge is the hardware you will need to run these powerful algorithms. Ted Way from the Azure Machine Learning team joins Olivier on the IoT Show to discuss hardware acceleration at the Edge for AI. We will discuss scenarios and technologies Microsoft develops and uses to accelerate AI in the Cloud and at the Edge such as Graphic cards, FPGA, CPU,... To illustrate all this, Ted walks us through real life scenarios and demos IoT Edge running Machine Learning vision algorithms.
Learn more about hardware acceleration for AI at the Edge: docs.microsoft.com/azure/mach...
Create a Free Account (Azure): aka.ms/aft-iot

[@reh-linchen4698]

Great explaining overall though the demo did not recognize tulips until the very end when the pictures were being removed. Does it take more than a few seconds?

[@80amnesia]

@15:16 it's not working, it says that tulips are roses.

[@aubriewest1135]

The interviewer seems like Joey in friends!

[@putdust]

This is really annoying. The person being interviewed has some really interesting and technical things to say, but i cannot help but be distracted by the interviewer constantly going mhm, yup, okay, mhm, ye ye. Just shut up and let him talk without being interrupted every few seconds. It's like you're not interested in what he's saying and trying to speed him up to finish quicker or to get to the point - let him explain the detail of his work (even if you dont understand it yourself!). Your interviewing style makes it hard for the viewer to follow the actual valuable content you're trying to put out.

[@rjgonzalez3997]

didnt really notice that until I read your comment, now I agree with u 😂

[@fed3919]

Feels like there is man pointing a gun at him. If he stops doing "hum, ha ha" he is dead.

[@evansyomu2879]

Example didnt work

[@kyoungsub]

shame but video was helpful!

[@sandyjr5225]

@@kyoungsub took some time to show tulips.

[@marcoayala1773]

First

[@tv_pc2311]

Gratulacje :D