ABOUT THIS PODCAST 🔗
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 the future of AI. Gain insight into real world applications so that you can potentially apply AI within your world.
Update frequency:
every 23 days
Average audio length:
16 minutes
Guest interviews
English
United States
64 episodes
since Feb. 4, 2021
serial
OLDEST EPISODE 🔗
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: …
PREVIOUS EPISODES 🔗
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 infere…
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 differen…
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.
Toda…
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 a…
Computer vision is one of the fastest-growing AI fields. This has been fuelled by the progress made in data models training and its widespread adoption. Automation that results from this increases the quality of products and lowers the cost of production.
In today’s episode, I’m talking to Shahar …
Artificial intelligence has come a long way in the last few years and it is making a significant impact in many industries. However, there is still notable reluctance to hand over more operations to AI-based systems because they are still not seen as being robust enough to be fully relied upon.
In…
Integration of AI into engineering solutions has changed how engineers approach product selection and development. One of the areas that have benefited the most from this integration is performance simulation. It has led to accurate decisions being made much faster as engineers use accurate insight…
Creating an accurate AI model requires millions of images and data points to be fed into the computing system. This is a difficult task that can slow down the speed to market or lower the accuracy of the model that is created. Synthetic data helps in solving this problem by reducing the amount of r…
Imagine an engineering software that anticipates the commands you want to execute by studying your usage patterns. Such a feature would definitely decrease the design time as well as increase your overall user experience. That’s exactly what Siemens NX is doing thanks to its machine learning capabi…
Disclaimer: The podcast and artwork embedded on this page are from Siemens Digital Industry Software, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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