Designing microchips is a daunting task which is growing increasingly challenging as new algorithms and software push the demand for efficient, specialized chips capable of running AI algorithms on everything from self-driving cars to edge IIoT sensors. To meet these demands in a timely manner, High-Level Synthesis (HLS) tools, like Siemens EDAs Catapult are proving themselves to be a vital tool in designing chips for the fast-passed world of AI technology. In this episode of AI Spectrum,...

Artificial intelligence has been a hot topic for the last few years as it starts to disrupt the status quo of countless industries but for EDA tools such as Solido, AI and ML have already become an indispensable proven technology. Solido leverages powerful machine learning abilities to provide answers that would normally require millions of simulations to acquire down to just a few thousand, offering a glimpse of where the AI industry may be going. In this episode, Spencer Acain is joined by...

Even as AI drives a new level of interconnectedness between tools, it also offers the potential to reinvent the way complex physics-based simulations are run. When it comes to the use of physics informed neural networks, or PINNs for short, a number of challenges are still left to overcome, however while the road ahead for PINNs is a long one, they offer the potential for great reward at the end as well. In this episode, Spencer Acain is joined once again by Dr. Justin Hodges, an AI/ML...

The products being designed and manufactured today must surpass the capabilities of what came before and then deliver them with fewer resources for various reasons, from environmental regulations to increased market competition. Making that happen is a challenging task, and even with some of the best tools, it can be difficult when relying only on the abilities of a few engineers and designers. As a result, computational resources in a digital business are becoming the differentiator for many...

AI is not only empowering tools to function with greater efficiency and usability, but it’s also helping spearhead the next generation of interconnected technologies which will help drive further innovation through a more holistic design approach. This in turn will help parallelize the traditionally serial design process, enabling a faster design cycle and exploration of a broader design space. In this episode, Spencer Acain is once again joined by Dr. Justin Hodges, an AI/ML Technical...

As AI gets smarter, it will play an increasing role in designing new products. This change will take many forms, with Generative Design and Engineering being key new technologies to enable faster development in a broader design space. This, in turn, will redefine the role engineers have in the product design process from one of intensive manual work to that of orchestrators. In this episode, Spencer Acain interviews Tod Parrella, Senior Product Manager for NX Design solutions. Tod explains...

Virtual testing of products has significantly been improved by the use of AI. We can now use models based on data from previous development cycles to create feasible designs faster. This translates to a shorter time to market and a lower cost of simulation because optimal cases are identified in advance. In this episode, the second part of two, Spencer Acain interviews Justin Hodges, AI/ML specialist and Product Manager for Siemens Simcenter. He’ll help us understand how AI’s predictive...

Simulation of digital models has completely transformed the product development process. However, it can be a time-consuming and expensive venture if the product being developed has many components. AI technology simplifies this process by creating thousands of models and test scenarios within a few hours. In this episode, the first part of two, Spencer Acain interviews Justin Hodges, AI/ML specialist and Product Manager for Siemens Simcenter. He’ll help us understand how the different ways...

Companies look for every advantage over their competitors that can help them bring new products to the market faster and at a lower cost. One of the ways to increase the speed to market is by improving the design speed. That is why Siemens NX has developed a new Sketch Solver that makes design work easier, more accurate, and faster. I’m your host, Spencer Acain, and today I’m joined by Scott Felber, Product Marketing Manager Siemens NX Design. And, Mike Yoder, who works with the Product...

Automation helps in accelerating repetitive but critical tasks that consume too much time. However, determining the tasks to automate requires deep knowledge of the actual steps, in chronological order, necessary to complete a process. Siemens NX is accelerating the design process by using knowledge gathered from past models to automate predictable tasks. In this episode, the second part of two, Spencer Acain interviews Shirish More, Product Manager at Siemens Digital Industries Software,...

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 capabilities. In this episode, the first part of two, Spencer Acain interviews Shirish More, Product Manager at Siemens Digital Industries Software, responsible for driving innovations inside Siemens NX....

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 real data that needs to be collected. That results in reduced time to market and increased model accuracy. In today’s episode, I’m talking to Zachi Mann. He leads a new initiative that is focused on...

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 insights that AI makes available to them. In today’s episode, I am talking to Krishna Veeraraghavan - Project Manager at Siemens Digital Industries Software. We’ll discuss the role AI is playing in...

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 today’s episode, I am talking to Michael Berger, the head of Munich Reinsurance’s AI Insurance Unit, and Boris Scharinger, a senior innovation manager at Siemens Digital Industries. We’ll discuss...

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 Zuler, a data scientist and machine learning engineer at Siemens. We'll discuss object recognition in factories and the unique challenges being faced in its deployment.  Tune in and learn more...

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...

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...

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,...