AI Spectrum

AI Spectrum

By Siemens Digital Industry SoftwareScienceTechnology
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AI Spectrum episodes

  • Addressing Design Flow Gaps and Creating Generic AI Solutions

    The gap between what the best AI applications can perform today versus the human brain is vast. Among many other differences, power efficiency and learning speed are two of the most challenging factors the AI & ML industry is dealing with when trying to design brain-like neural networks.

     

    Today, in the final episode of the series, Mike and Ellie discuss that gap and the challenges that hardware designers have in their design flow. They also touch on the clashing requirements of coming up with a generic AI application that can perform many tasks versus applications that perform one task really well.

     

    Tune in, to find out what the AI industry is doing to narrow the gap between the brain and artificial intelligence.

     

    In this episode, you will learn:

    • The gaps between AI applications and the human brain. (00:45)
    • The Holy Grail of AI: one-shot learning. (01:48)
    • The energy consumption of the human brain versus deep neural networks. (02:50)
    • The industry’s struggle of creating specific networks versus generic ones. (03:56)
    • The resources required by one of the most complex neural networks. (06:08)
    • The industry’s challenge of keeping up with the rapid changes in AI architectures. (06:57)


      • Connect with Mike Fingeroff:

      • LinkedIn


      Connect with Ellie Burns:

      • LinkedIn


      Resources:

      • Catapult High-Level Synthesis
      • Siemens EDA
        • 9 min
      • Identifying Hardware Design Challenges and AI at the Edge

        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)

          • Connect with Mike Fingeroff:

          • LinkedIn


          Connect with Ellie Burns:

          • LinkedIn


          Resources:

          • Catapult High-Level Synthesis
          • Siemens EDA
            • 10 min
          • Understanding Training vs Inferencing and AI in Industry

            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:

              • LinkedIn


              Connect with Ellie Burns:

              • LinkedIn


              Resources:

              • Catapult High-Level Synthesis
              • Siemens EDA
                • 11 min
              • Exploring AI and ML and Understanding Networks

                Everywhere we look today, people are talking about artificial intelligence and machine learning, and you probably hear a lot of buzzwords around this topic. You might be curious on the resources needed to train a machine or what exactly the process entails.

                Well, simply put, think of it like this: the specialists in the AI & ML industry aim at mimicking the amazing human brain. That’s not really an easy task, but huge advancements have been made in the past decade.

                In today’s episode, Mike Fingeroff – Senior Member of Consulting Staff at Calypto Design Systems - and his guest, Ellie Burns – Director of Marketing at Siemens EDA - share the basics of artificial intelligence and machine learning and help us understand how neural networks work.

                Tune in, to learn more!

                In this episode, you will learn:

                • Then and now – the changes through AI & ML history. (01:07)
                • The catalyst for the boom of the AI industry. (05:32)
                • What a deep neural network is & how it works. (06:34)
                • The different types of neural networks. (08:35)

                  • Connect with Mike Fingeroff:

                  • LinkedIn


                  Connect with Ellie Burns:

                  • LinkedIn


                  Resources:

                  • Catapult High-Level Synthesis
                  • Siemens EDA
                  • AI in industry


                    • Read the transcript here:

                    11 min

                  About AI Spectrum

                  From the publisher's feed

                  AI Spectrum podcasts cover a wide range of artificial intelligence and machine learning topics. Listen to experts within Siemens and their customers talk about the impact of AI, success stories, and…