AI Spectrum


Identifying Hardware Design Challenges and AI at the Edge

Ep. 3

The field of artificial intelligence and machine learning - just like any other industry where innovation happens -  faces lots of challenges, and specialists are relentlessly looking for ways to overcome them.

In this episode, Mike and Ellie tackle some of these challenges and discuss the different compute platforms, their limitations, and the surge of new platform development, as well as the many challenges that hardware designers face as they try to move AI to IoT edge devices.

Tune in, and learn some of the challenges of implementing the latest cutting-edge neural network algorithms on today's compute platforms.


In this episode, you will learn:

  • The amount of energy neural networks use. (00:54)
  • Why analog starts to be in the spotlight again. (04:30)
  • How applications moving to the Edge impacts training and inferencing. (05:39)
  • Data movement requires most of the energy consumption. (07:50)

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More Episodes


Understanding the Role of AI and How to Use Data

Ep. 5
Artificial intelligence is becoming increasingly more common in the workplace. To really understand how it works and the benefits that it can bring about, talking to people with first-hand experience is key. To learn more about how AI technology is being used, we turn to our very own experts here at Siemens.  In today’s episode, I’m talking to Roberto D'Ippolito, Senior Technical Product Manager of the HEEDS team at Siemens Digital Industries Software based in Belgium. We’ll discuss the range of possibilities within AI, where all that data comes from, and how to create value from it. AI has the potential to offer big advantages over the competition, and machine learning puts all of the information into focus. You’ll also learn where HEEDS fits into the simulation equation, the key benefits of using the technology, and the process of designing automated vehicles so that unpredictable situations are accounted for. We’ll wrap up by touching on a few misconceptions about AI, and where it might lead us in the future.  In this episode, you will learn:How we can utilize AI industrially and in general (1:48)The role of HEEDS (2:57)The key benefit of AI and machine learning technology (6:51)How the adaptive sampling strategy is being used (9:06)How machine learning meets the challenge of designing autonomous vehicles (11:02)The AV design process (14:13)Where all of the data is coming from (18:16)Challenging beliefs and misconceptions about AI (23:21)The future of AI in engineering (25:00)Connect with Roberto D'Ippolito:LinkedInConnect with Thomas Dewey:LinkedIn