AI Spectrum

Share

Understanding Training vs Inferencing and AI in Industry

Ep. 2

In the world of AI, a key concept is how to train a neural network to perform a particular task efficiently and accurately, then a hardware solution is created that uses the results from that training - and this is called inferencing.


The difference between these two concepts - training and inferencing - often creates confusion among people, and that's why, in today's episode, we are diving deep into explaining these two terms and how exactly they differ. 


We are also painting a clear picture of the industries that use artificial intelligence and machine learning and what they're working on, so tune in, and find out more! 

 

In this episode, you will learn:

  • The difference between training versus inferencing a neural network. (00:46)
  • Examples of frameworks that help with the training process of a neural network. (01:24)
  • The stage AI & ML is at, currently, in terms of safety-critical applications. (04:42)
  • The industries that are currently using AI & ML, and the types of applications they’re focusing on. (06:52)

Connect with Mike Fingeroff:


Connect with Ellie Burns:


Resources:

More Episodes

6/2/2021

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