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Siemens Digital Industry Software
AI Spectrum
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When designing a product, there are countless parametersthat must be considered and balanced to arrive at a final, optimal result. In atraditional design cycle, this is a highly manual process that seeks to reducethe number of variables as m
Bringing AI into the fold isn’t always easy. Sometimes, evenknowing when and where it makes sense to apply it can prove challenging andonce potential applications are identified, building trust in the model is alsoa critical factor. These ar
Design space exploration is a critical step in any productdesign lifecycle but just as it’s important, so too does it present numerouschallenges. Designing a product requires balancing a multitude of, oftencontradicting, requirements to arri
Predictive maintenance has long been a topic of interest inindustry but implementing and scaling theoretical models into the real world hasproven to be fraught with challenges. However, by approaching the problem froma different angle, Sense
Decision making is a key part of any business, but it can take years to build up the knowledge and experience required to make quick, accurate judgements within a domain of expertise. This is just as true when it comes to deciding the course fo
When operating a factory, one of the major goals is tominimize issues, downtime, or anything else outside the status quo and ensuresmooth operation. However, this is easier said than done, as all machines requiremaintenance and must contend
In this engaging two-part podcast, join the conversation between Justin Hodges and Dale Tutt, a seasoned aerospace and defense professional, as they delve into the intertwined realms of digital transformation and artificial intelligence (AI) in
In this engaging two-part podcast, join the conversation between Justin Hodges and Dale Tutt, a seasoned aerospace and defense professional, as they delve into the intertwined realms of digital transformation and artificial intelligence (AI) in
In many fields, ranging from design to manufacturing to operation, time is often a limiting factor when it comes to exploring new ideas. Thanks to recent advances in generative AI and what that will mean in the future, many be possible to cut d
Generative AI is a powerful tool, offering a powerful new way to interact with information and technology, as explored in part one of this series. Moving beyond the role of a helper, generative AI also offers great potential to expand the desig
Generative AI has become a global phenomenon since the public release of AI chatbots such as ChatGPT however it’s not just consumers interested in exploring what generative AI has to offer. Many industries are investigating the ways generative
When it comes to AI, data is everything. Everything from training models to leveraging them after deployment relies on having access to large quantities of high-quality data to work with. When examining the global electronics value chain in the
As global supply chains become increasingly interconnected and products more complex it also becomes increasingly important to understand how perturbations to this system will effect everything from supply availability to consumer demand. Under
For any marketplace, understanding buyer intent is vital. In the consumer space, many companies have invested in developing systems – both with and without AI – capable of doing just that. However, for B2B marketplaces gauging buying intent bec
Microchips are among the most, if not the most, complex devices ever created by humankind, packing billions of transistors into a package the size of a thumbnail. For these chips to function properly every one of those transistors must function
As AI grows increasingly integrated with modern products, finding a way to quickly and efficiently design purpose-built AI accelerators for a wide range of applications is vitally important. Designing chips using High-Level Synthesis (HLS) not
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
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 levera
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 n
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 hap
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 approa
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
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 o
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 crea
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 h
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