AI Spectrum

The importance of flexibility in AI chip desgin

Mon, 09 Mar 2026 20:56:00 -0000

AI is not a one size fits all solution for approaching industrial problems, rather, it’s important to tailor different models to different applications to ensure the best results no matter the use case. Equally so, the chips that run these AI models should not be one size fits all either, with highly customized chips offering far better performance and efficiency when it comes to accelerating AI in everything from a datacenter to a smart camera.

In this episode, host Spencer Acain is joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team, examines the needs of AI hardware through highly customized chip designs and how, through innovative applications, AI itself can increase the flexibility of the chip design process in novel ways.

In this episode you will learn:

· How AI is increasing the flexibility of the chip design process (1:26)

· The importance of custom chips for AI use cases (11:57)

Developing an AI enhanced chip design process

Thu, 12 Feb 2026 23:07:00 -0000

If the only constant is change, then AI represents the next big change for many tools and industries. High-level synthesis, one of the key tools in the semiconductor design process, is set to be one of the tools that receives a big upgrade from AI. Currently, HLS processes rely heavily on manual adjustments and hard-coded heuristics yet, with integrated intelligence, a new approach to chip design begins to emerge.

In this episode, host Spencer Acain is joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team, explores the ways AI can bring even greater automation and intelligence to the chip design and manufacturing process.

In this episode you will learn:

· How AI enhances heuristics (0:30)

· How AI will change the chip design process (2:41)

Understanding AI-assisted Chip Design

Fri, 23 Jan 2026 22:01:00 -0000

Chip design is one of the most complex and challenging tasks in the world, requiring specialized tools and knowledge far beyond what is needed in other fields. High-level synthesis (HLS) is a key tool to help address complexity and achieve efficient, optimized designs which are key in both modern smart products and cutting-edge AI. HLS and AI have strong synergies in improving ease of use, speed and efficiency.

In this episode, host Spencer Acain is joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team to examine what HLS is and how it intersects with AI. Russ explains how AI benefits from HLS-designed chips and, in turn, how AI can help make a complex tool like Catapult more powerful.

In this episode you will learn:

· What is high-level synthesis? (0:30)

· Improving efficiency with AI and HLS (2:38)

· The potential of AI-assisted chip design (5:35)

Driving the adoption of generative AI in industry

Fri, 02 Jan 2026 18:05:00 -0000

New technology can offer a lot of promise for improving on long-standing techniques or developing innovative approaches to different challenges but, when it comes to adopting these new technologies into complex industries, there are always challenges to overcome. With advancements as complex as artificial intelligence and agentic AI, unlocking their full potential across the design and manufacturing process will take time, yet in so doing, achieve new heights of what is possible.

In this episode, host Spencer Acain is joined Shirish More, AI Program Product Manager at Siemens and Michael Taesch, Senior Director of Product Management for NX Manufacturing to look at what it takes to deploy AI in industry, the challenges both technical and personal that must be overcome and why making the effort will be important in the years to come.

In this episode you will learn:

· What it takes to bring generative AI to industry (0:51)

· The impact of AI industry going forward (7:31)

What agentic AI means for the design process

Fri, 12 Dec 2025 22:57:00 -0000

As it continues to develop, artificial intelligence is starting to be applied across many different sectors of industry with equally many different new technologies used to support that. Agentic AI represents one of the latest ways AI can be applied to more complex tasks including complex design and manufacturing processes that existing AI isn’t well suited for.

In this episode, host Spencer Acain is joined Shirish More, AI Program Product Manager at Siemens and Michael Taesch, Senior Director of Product Management for NX Manufacturing explore the future of agentic and generative AI in design and manufacturing applications, what that will mean for the design process, and the role of AI as an assistant going forward.

In this episode you will learn:

· The future role of AI in design and manufacturing (0:58)

· What is agentic AI? (7:51)

· The transition from AI to coworker (12:23)

Building an AI foundation for a smarter digital enterprise

Fri, 21 Nov 2025 23:28:00 -0000

Bringing AI into industry isn’t something that can happen all at once, rather, something that will happen gradually by applying AI to individual areas where it can have the most impact. With that said, as these foundations continue to grow, more complex, overarching AI applications will begin to find their way into industry as well, offering greater flexibility and possibility then traditional systems can.

In this episode, host Spencer Acain is joined by Dr. James Loach, head of research at Senseye Predictive Maintenance to look at the applications of LLMs and other, similar AI technologies to the vast store of information available across a digital enterprise, and what that means for the future of design and manufacturing.

In this episode you will learn:

· What comes after the time series foundation model? (0:35)

· Expanding AI to enterprise data (3:26)

· The broader role of AI in industry (9:50)

Understanding information with AI

Fri, 31 Oct 2025 21:40:00 -0000

Interpreting different types of information is a task humans are inherently good at with just a little guidance and, from there, conclusions can be drawn and connections made. Artificial intelligence by contrast requires much more training but is capable of analyzing information and building connections in wholly different ways than humans, allowing for a novel perspective on key data.

In this episode, host Spencer Acain is joined by Dr. James Loach, head of research at Senseye Predictive Maintenance to explore the ways AI can analyze and interpret industrial data, the similarities between text generating LLMs and Senseye’s own time series foundation models. James also delves into what it took to make the time series foundation model a reality.

In this episode you will learn:

· The similarities between text and time series data (00:36)

· Challenges of building a time series foundation model (05:50)

Building a time series foundation model

Fri, 10 Oct 2025 21:46:00 -0000

Artificial intelligence is rapidly becoming a core technology for both consumers and businesses but bringing AI into the design process or onto the shop floor presents a unique set of challenges. With a wide variety of tasks and data types, creating AI models to handle industrial tasks is far more difficult than creating simple chat interfaces, which is where foundation models come in.

Host Spencer Acain is joined by Dr. James Loach, head of research at Senseye Predictive Maintenance to learn more about what foundation models are and how they can help address some of the challenges of bringing AI to industry. One example of this being Senseye’s own time series foundation model.

In this episode you will learn:

· What is a foundation model? (0:30)

· Applications of a time series foundation model (6:00)

Understanding the intersection of AI and simulation – Part 3

Wed, 03 Sep 2025 15:00:00 -0000

Over time what was once thought impossible slowly becomes possible. For all its flaws, the artificial intelligence of today would be more at home on the holodeck than the board room even 20 years ago, yet today AI is reshaping how people do their jobs in every sector. For every great leap in technology, there are many smaller building blocks that pave the way and for AI in industry, digital transformation is one such building block, a key step in merging existing tools and data with the power of AI.

In the final episode of this special miniseries, host Spencer Acain is joined by Todd Tuthill, Vice President for Aerospace and Defense and Marine Industry at Siemens, Dr. Justin Hodges, Senior AI/ML Technical Specialist at Siemens as well as Fatma Kocer-Poyraz, Vice President of Engineering Data Science at Altair to look both forward and backward at how far we’ve come with AI, simulation and digital transformation, and how far we still have to go.

In this episode you will learn:

· The importance of AI in the digital transformation of industry (0:50)

· How science fiction becomes science fact (7:49)

Understanding the intersection of AI and simulation – Part 2

Fri, 15 Aug 2025 21:22:00 -0000

Generative AI is proving to be a powerful force multiplier across many industries, allowing a single user to do more in less time and even highly complex tasks, like product design, are reaping generative AI-driven benefits. However, as powerful as these AI tools are, they must be carefully applied in conjunction with not in place of existing tools like simulation. Only together can AI and simulation achieve a better result than either could alone.

In this special miniseries, host Spencer Acain is joined by Todd Tuthill, Vice President for Aerospace and Defense and Marine Industry at Siemens, Dr. Justin Hodges, Senior AI/ML Technical Specialist at Siemens as well as Fatma Kocer-Poyraz, Vice President of Engineering Data Science at Altair to examine it takes to develop generative AI fit for industry and how best to combine the two fields.

In this episode you will learn:

· Where generative AI fits in industry (0:43)

· What is an industrial foundation model? (9:27)

· Balancing AI-generated and simulated results (17:49)

Understanding the intersection of AI and simulation – Part 1

Fri, 25 Jul 2025 16:19:00 -0000

Simulation has been a cornerstone of the design process for many years but despite how advanced modern simulation tools have become, there are always ways to continue advancing. Artificial intelligence and machine learning represent one such path to improvement, working in tandem with existing simulation techniques to accelerate design space exploration and beyond.

In this special miniseries, host Spencer Acain is joined by Todd Tuthill, Vice President for Aerospace and Defense and Marine Industry at Siemens, Dr. Justin Hodges, Senior AI/ML Technical Specialist at Siemens as well as Fatma Kocer-Poyraz, Vice President of Engineering Data Science at Altair to explore the ways AI/ML will complement traditional simulation and enhance design space exploration going forward.

In this episode you will learn:

· What are the synergies between AI and simulation? (3:12)

· The power ML surrogates for design space exploration (7:17)

· Value of AI and simulation (11:35)

· Understanding synthetic data (14:36)

A bright future of AI in Operational Technology

Fri, 20 Jun 2025 19:02:00 -0000

Merging AI with operational technology (OT) is no simple task, between concerns about robustness and reliability as well as data privacy, there are many challenges to overcome. With that said, the potential benefits make the endeavor worth the effort. Rather than bringing AI into every aspect of manufacturing right away, the key for long-term success will be adopting it gradually through small tasks with immediate benefit that also support broader, long-term goals.

In this episode, host Spencer Acain is joined by Ralf Wagner, Senior Vice President of data-driven manufacturing at Siemens, to look at the steps it will take to bring AI into the manufacturing and operations world, the key insights he and his team have gained along the way and finally, what the future will hold for AI in industry.

In the episode you will learn:

· Challenges of bringing AI into operations (00:57)

· The future of AI in manufacturing (7:36)

The importance of AI and data in the manufacturing process

Fri, 30 May 2025 16:22:00 -0000

Artificial intelligence and data go hand in hand together, whether that’s as data used to train AI models or as AI models used to analyze and retrieve data. In the industrial world, there’s a fine balance between leveraging data to fine-tune shop floor AI systems meaning data intelligence is an equally valuable asset as well. Similarly, AI itself can provide a form of data intelligence through the lens of an Industrial Copilot capable of aggregating vast quantities of data into easy to access and understand formats. Bringing these elements together will be vital in realizing the future of data-driven manufacturing.

In this episode, host Spencer Acain is joined once more by Ralf Wagner, Senior Vice President of data-driven manufacturing at Siemens as he examines the applications of pretrained AI solutions compared to fine-tuning them for specific deployments. Additionally, he looks at the ways the Industrial Copilot can be applied to the data-driven manufacturing process.

In the episode you will learn:

· Out-of-the-box vs. fine-tuned models (0:42)

· Applications of the Industrial Copilot (5:02)

AI breaks down the silos of industrial data

Fri, 09 May 2025 16:51:00 -0000

AI will drive the future of data-driven manufacturing with tools like Siemens Insights Hub already adopting AI in key areas today. For the manufacturing industry, leveraging data and taking advantage of AI means leveraging out of the box solutions and robust, easy to use models that don’t require teams of data scientists. Leveraging data-driven manufacturing will be vital for companies to traditionally siloed domains and unlock broad-ranging optimizations.

In this episode, host Spencer Acain is joined once again by Ralf Wagner, Senior Vice President of data-driven manufacturing at Siemens, to explore core applications of AI within Siemens Insights Hub, with everything ranging from out of the box solutions to powerful customizations for expert users. Beyond that, Ralf examines the importance of data-driven manufacturing going forward, and why AI will play a key role in that.

In the episode you will learn:

· What are the 4 applications of AI in Insights Hub? (00:28)

· Importance of data-driven manufacturing (11:50)

AI enables the future of data driven manufacturing

Wed, 16 Apr 2025 17:17:00 -0000

Data is playing an increasingly important role in the manufacturing

process but leveraging it to its fullest potential and intelligently applying

it to optimize production process and systems can present many challenges. AI provides

a path to leveraging production and IIoT data to support continuous

optimization and achieve insights faster than traditional methods allow.

In this episode, host Spencer Acain is joined by Ralf

Wagner, Senior Vice President of data driven manufacturing at Siemens, to discuss

the importance of tools like Siemens Insights Hub for smart manufacturing.

Additionally, he will examine the key role AI is playing in these types of

tools and why it will be crucial in achieving the next step in smart

manufacturing.

In the episode you will learn:

What is Insights Hub? (2:11)

Major AI applications in Insights Hub (10:11)

How AI is paving a new path for design and manufacturing

Thu, 27 Mar 2025 16:53:00 -0000

Artificial intelligence is already finding a place across

many different areas of the design and manufacturing process but its benefits

aren’t limited to supporting individual, siloed, applications. As both AI

technology and the digitalization of the complete product design process

continue to develop, AI will become a key tool that spans across the entire

breadth of industry, reshaping the entire process from end to end.

In this episode host Spencer Acain is joined by guests Boris

Scharinger, Senior Innovation Manager and Technology Strategist for Siemens

Digital Industries, and Dr. Justin Hodges, Senior AI/ML Technical Specialist in

Product Management for Siemens Digital Industries Software, as they look to the

future of what AI will offer the product design and manufacturing process. They

highlight key AI trends and they impact they are already having at every stage

of the design process, while also examining the impact those trends will have

in the future.

In this episode you will learn:

The impact of AI across the breadth of product

design (1:25)

The future of AI in industry (7:18)

Capturing manufacturing data and processes with AI

Wed, 05 Mar 2025 16:00:00 -0000

Artificial intelligence is having a major impact on the way products are designed and manufactured. Applying AI to the manufacturing industry can help bring a new layer of speed and adaptability to an industry that has traditionally been slow to adopt new trends. AI offers the ability to understand, package, and transport information between systems and users in a more efficient and intuitive way than ever before, enabling new approaches and innovations across the breadth of a factories operations.

In this episode host Spencer Acain is joined by guests Boris Scharinger, Senior Innovation Manager and Technology Strategist for Siemens Digital Industries, and Dr. Justin Hodges, Senior AI/ML Technical Specialist in Product Management for Siemens Digital Industries Software, to examine the ways AI is being applied to the manufacturing process. They cover topics focused on applying AI/ML to critical data within factories, encompassing both usage and analysis.

In this episode you will learn:

· Applications of AI in manufacturing (1:17)

· How AI is accelerating operations (5:01)

· Packaging data with ML models (7:46)

How AI brings DevOps to product design

Thu, 13 Feb 2025 21:56:27 -0000

Advanced software methods, like simulation and the digital twin, are at the core of modern product design, enabling new designs to be tested and validated quickly and efficiently based on real-world data without the need for expensive prototypes. Now, thanks to the latest advances in AI, these key technologies can be taken a step further, allowing for even greater efficiency and new ways of tackling complex problems.

In this episode host Spencer Acain is joined by guests Boris Scharinger, Senior Innovation Manager and Technology Strategist for Siemens Digital Industries, and Dr. Justin Hodges, Senior AI/ML Technical Specialist in Product Management for Siemens Digital Industries Software, to explore the applications of AI in simulation and design, including applying AI to unify different elements of the digital twin and deepening the connection between the virtual and physical worlds.

In this episode you will learn:

· The benefits of moving to smaller models (0:37)

· How reduced order models help bring together digital twins (3:16)

· AI enables DevOps for hardware (7:46)

How AI accelerates early product design

Wed, 22 Jan 2025 17:00:00 -0000

With the continuing digitalization of industry, the product design and manufacturing process is becoming more connected from end to end. Taking advantage of that connection and digitalization, artificial intelligence is starting to take a bigger and bigger role across every stage of the design and manufacturing process. Bringing AI into the design process helps organizations achieve both long- and short-term goals while simultaneously accelerating traditionally slow processes, help enable new, innovative approaches to historic problems.

In this episode host Spencer Acain is joined by guests Boris Scharinger, Senior Innovation Manager and Technology Strategist for Siemens Digital Industries, and Dr. Justin Hodges, Senior AI/ML Technical Specialist in Product Management for Siemens Digital Industries Software, to discuss the applications of AI in the early stages of the design process. They discuss key topics such as the application of AI as a decision support system, as well as ways AI is helping address important concerns such as sustainability.

In this episode you will learn:

· What are the applications of AI in the early stages of product design? (4:06)

· How AI is helping address sustainability concerns (6:27)

· How AI enables faster decision making (9:15)

How AI is augmenting the PLM process

Thu, 02 Jan 2025 16:00:00 -0000

PLM systems are at the heart of modern, digitally integrated

manufacturing and design companies, helping to support the digitalization of

industry and the advancement of next-generation manufacturing. However, with as

complex as these systems are and with the vast quantities of data available

within them, leveraging a PLM system to its fullest potential isn’t always a

simple task.

In this episode, host Spencer Acain is joined by Charles

Aldave, Product Marketing Manager for Teamcenter, to discuss the ways AI is

impacting PLM systems, both as a means for directly interfacing with users and as

a way to silently speed things up behind the scenes.

In this episode you will learn:

What is Teamcenter? (0:43)

Creating hallucination free generative AI (2:37)

How Teamcenter seamlessly integrates AI (6:00)

How AI is optimizing the IC test process – Part 2

Fri, 13 Dec 2024 18:45:00 -0000

Microchips are getting smaller, denser and more complex with

each passing year not only incurring increased costs, but greater manufacturing

challenges as well. To help drive the continued advancement of semiconductor

technology, the design and testing of these new chips must be ready to

accommodate AI and ML from the ground up.

In this podcast, host Spencer Acain is joined by Ron Press,

Senior Director of Technology Enablement at Siemens Digital Industries, looks

to the future of AI and ML in the chip design and verification process. Ron

explores the needs for cutting edge technology in a field as complex as IC

production, as well as the challenges of adopting that same technology into a

multi-billion-dollar industry.

In this episode you will learn:

What is analytical AI? (0:37)

Challenges of bringing AI into IC design and

test (4:48)

The need for cutting edge technology in leading

processes (6:36)

How AI is optimizing the IC test process – Part 1

Fri, 22 Nov 2024 18:30:00 -0000

Microchips are an integral part of modern society,

controlling devices big and small, simple and complex. Designing these chips

isn’t a simple process by any means but equally so, fabricating and verifying

completed parts is not only incredibly complex, but a vital step in the

manufacturing process. Cutting edge microchips are so expensive to manufacture

that improving yields by even 1% can represent multi-million dollar

improvements in revenue.

In this podcast, host Spencer Acain is joined by Ron Press, Senior

Director of Technology Enablement at Siemens Digital Industries to explore the

ways he and his team are applying AI and ML in Tessent, a key tool in the chip

verification and design process. Additionally, Ron explains the importance of

testing and why the process takes so well to AI/ML.

In this episode you will learn:

What is Tessent? (1:04)

Applications of AI/ML in Tessent (5:58)

What makes IC verification a good fit for

machine learning? (8:56)

Going beyond automation with the Industrial Copilot - Part 3

Fri, 01 Nov 2024 21:36:00 -0000

AI is a constantly changing field, sometimes with a

staggering pace of innovation so when considering the development and

deployment of AI solutions it’s important to also understand where the

technology will go in the future. Adapting to the challenges of today while

preparing for the advancements of tomorrow must be key considerations when

developing any AI technology, especially broad-reaching ones like the

Industrial Copilot.

In this episode, join host Spencer Acain and guests Michi

Lebacher and Alessia Bortolotti as they examine the challenges of bringing an

ambitions project like the Industrial Copilot to life, how that project will

evolve in the future, and where AI is leading the industry as a whole.

In this episode you will learn:

The
future of the Industrial Copilot (0:31)
What
it takes to bring AI to industry (5:20)

Going beyond automation with the Industrial Copilot - Part 2

Thu, 10 Oct 2024 20:41:00 -0000

The Industrial Copilot is already beginning to prove its

value across industries but ensuring such a powerful AI tool is industrial

grade and ready to deploy not in months or years but in days, isn’t without its

challenges. Addressing these challenges requires a smarter approach to data and

training, as well as extensive cooperation both between new and existing

software tools and with partners seeking to deploy these AI solutions.

In this episode, host Spencer Acain is joined by Michi

Lebacher and Alessia Bortolotti to examine the approaches to data and

deployments, trade-offs and customer benefits of the Industrial Copilot.

In this episode you will learn:

How
the Industrial Copilot integrates across the Siemens ecosystem (0:28)
Training
AI across different disciplines (9:20)
RAG
vs. fine tuning for industrial grade AI (13:55)

Going beyond automation with the Industrial Copilot - Part 1

Thu, 19 Sep 2024 19:20:00 -0000

Chatbots and digital assistants aren’t anything new, but their

abilities and perceived intelligence were often extremely limited, giving them

no place in the complex world of industrial design and manufacturing. Now,

thanks to advances in industrial grade generative AI, that’s all beginning to

change. The Industrial Copilot is the first step in that change, offering

human-like assistance and intelligence to users at every level of the

industrial value chain.

In this episode, host Spencer Acain is joined by Michi

Lebacher and Alessia Bortolotti to discuss the applications of AI in the Industrial

Copilot, a generative AI-based tool that assists users across a broad range of

tasks and with intuitive natural language abilities.

In this episode you will learn:

What
is the Industrial Copilot? (2:48)

What are the key areas the Industrial Copilot is

applying AI? (6:08

Enabling low-code development with AI – Part 3

Thu, 08 Aug 2024 19:15:00 -0000

Implementing AI into a complex and often mission-critical

application is rarely an easy task even though it is often highly worthwhile.

Even as AI experts work to bring AI into the applications where it can provide

the greatest benefits, their efforts also have a democratizing effect on both the

tools its being added to and the AI models themselves. This ensures that

everyone will have full access to the tools they need to capitalize on their

own domain knowledge without needing to become an expert in the tool itself.

Join host Spencer Acain in a conversation with Subba Rao,

Director of Manufacturing Industries Cloud for Mendix, a part of Siemens

Xcelerator as he discusses the challenges, benefits and future of AI within

Mendix and the industry at large.

In the episodes you will learn:

Challenges of bringing AI to Mendix (0:00)

Mendix democratizes industrial AI (4:16)

What the future holds (8:08)

Enabling low-code development with AI – Part 2

Thu, 18 Jul 2024 17:17:00 -0000

Going forward, AI will be an important part of many

industrial processes, from data analytics to development to manufacturing, there

are many places where AI could step in to boost productivity. However, it is

equally important to make sure that AI is suitable for the roles it takes –

that of an assistant, not a replacement for human expertise.

Join host Spencer Acain along with Subba Rao, Director of

Manufacturing Industries Cloud for Mendix, a part of Siemens Xcelerator as he examines

the application of AI within Mendix, their limitations, and why they chose the

AI integration path they did.

In the episodes you will learn:

AI augmented vs. AI assisted (0:48)

Applications of AI in industry (8:02)

Enabling low-code development with AI – Part 1

Thu, 27 Jun 2024 18:40:00 -0000

When it comes to developing industrial software and

workflows it’s not just expert domain knowledge that is a limiting factor, but

also the ability to transfer that expertise into the required software and

programming languages. Low- and no-code solutions combat this by helping anyone

with an idea translate it, with little to no coding knowledge, into a

full-fledged application and generative AI is at the heart of this process.

Join host Spencer Acain in a conversation with Subba Rao, Director

of Manufacturing Industries Cloud for Mendix, a part of Siemens Xcelerator as

he discusses the ways Mendix leverages AI in low-code application development

and how it is supporting the integration of AI withing industrial apps.

In the episodes you will learn:

What is Mendix? (1:19)

Key applications of AI within Mendix (4:27)

How AI helps build AI apps (7:11)

How AI is accelerating design space exploration - Part 3

Tue, 23 Apr 2024 17:53:00 -0000

When designing a product, there are countless parameters

that must be considered and balanced to arrive at a final, optimal result. In a

traditional design cycle, this is a highly manual process that seeks to reduce

the number of variables as much as possible to simplify the process. Now thanks

to advances in AI, it’s possible to not only handle a greater number of

variables but extract additional information from each one – allowing for

further design refinement.

In this episode, host Spencer Acain is joined once again by

Dr. Gabriel Amine-Eddine, Technical Product Manager for the HEEDS Design

Exploration Team, to examine the ways AI can be used to aid in design space

exploration and what that will mean for the future.

In this episode you will learn:

Using AI to handle high dimensionality models

(1:09)

Reuse of AI models (9:37)

How AI will change the design process (12:24)

How AI is accelerating design space exploration - Part 2

Wed, 27 Mar 2024 17:35:00 -0000

Bringing AI into the fold isn’t always easy. Sometimes, even

knowing when and where it makes sense to apply it can prove challenging and

once potential applications are identified, building trust in the model is also

a critical factor. These are common challenges faced by AI applications in

every industry and while the solutions each one reaches will be unique, they

all share some commonalities.

In this episode, host Spencer Acain is joined once again by

Dr. Gabriel Amine-Eddine, Technical Product Manager for the HEEDS Design

Exploration Team, to continue discussing the creation of HEEDS AI Boost and how

such a complex tool can find its place in industry.

In this episode you will learn:

What prompted the creation of HEEDS AI Simulation

Predictor? (0:43)

How uncertainty-aware AI can build trust (6:24)

How AI is accelerating design space exploration - Part 1

Wed, 06 Mar 2024 18:00:00 -0000

Design space exploration is a critical step in any product

design lifecycle but just as it’s important, so too does it present numerous

challenges. Designing a product requires balancing a multitude of, often

contradicting, requirements to arrive at as close to an optimal solution as

time constraints allow. Now, thanks to advances in AI, it’s possible to reach

those optimal designs faster and more efficiently than ever.

In this episode, host Spencer Acain is joined by Dr. Gabriel

Amine-Eddine, Technical Product Manager for the HEEDS Design Exploration Team, to

explore the ways HEEDS AI Simulation Predictor is leveraging AI to speed up the

design space exploration process, and what impact that will have on the product

design process.

In this episode you will learn:

What is HEEDS? (2:04)

How AI is accelerating design space exploration

(5:03)

Balancing simulation vs. inference (9:34)

How AI is optimizing factory maintenance – Part 3

Wed, 14 Feb 2024 19:16:00 -0000

Predictive maintenance has long been a topic of interest in

industry but implementing and scaling theoretical models into the real world has

proven to be fraught with challenges. However, by approaching the problem from

a different angle, Senseye seeks to develop a scalable, general-purpose solution

that can easily apply to the often less than ideal real-world data coming from

factories. With intelligent use of AI models, predictive maintenance can be achieved

without the use of the costly and difficult to scale bespoke models that have

dominated the field for many years.

In this final episode on predictive maintenance, host

Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye

Predictive Maintenance, to discuss Senseye’s unique approach, the struggles of

adopting predictive maintenance and AI in the real world, and what the future

for AI holds.

In this episode you will learn:

General purpose decision support (1:06)

Challenges of adoption (6:20)

A rapidly changing world (10:02)

How AI is optimizing factory maintenance – Part 2

Thu, 25 Jan 2024 21:39:00 -0000

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 for a massive company as it is for deciding when a single machine needs to be taken down for maintenance. With the rise of conversational AI, the process can be made easier with smart systems that bring key information to the forefront.

In this episode, host Spencer Acain is joined once again by Dr. James Loach, Head of Research for Senseye Predictive Maintenance to discuss the ways Senseye is using AI to build intelligent decision support systems. James explains the importance of these systems, as well as their limitations and how Senseye is working to build trust in them.

In this episode you will learn:

Why AI decision support systems are important (1:24)

How Senseye is building trust in the system

(6:58)

The value of where AI and humans meet (12:00)

How AI is optimizing factory maintenance - Part 1

Thu, 04 Jan 2024 17:58:00 -0000

When operating a factory, one of the major goals is to

minimize issues, downtime, or anything else outside the status quo and ensure

smooth operation. However, this is easier said than done, as all machines require

maintenance and must contend with unforeseen failures. Predictive maintenance is

emerging as a powerful tool that leverages AI and machine learning to better

understand when and where maintenance is required to minimize downtime and preemptively

handle issues before they become catastrophic.

In this episode, host Spencer Acain is joined by Dr. James

Loche, Head of Research for Senseye Predictive Maintenance, to explore the unique

approach Senseye is taking to the problem of keeping factories running as

smoothly as possible.

In this episode you will learn:

What is Senseye (2:40)

Senseye as a decision support system (4:30)

How AI brings flexibility and scalability to

predictive maintenance (11:04)

Monitoring operations vs. looking for failures

(13:13)

AI in the Digital Transformation Revolution: Industry perspective from Dale Tutt Part 2

Thu, 09 Nov 2023 16:00:00 -0000

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 the realm of computer-aided design.

For part two, the discussion shifts into the manufacturing landscape (emissions, batteries, among others). A nod is given to the tech giants that make such data pipelines possible (for example Meta), as a conversation is had on what the possibilities are for other industries (like ours) with such a wealth of data available for digital and machine learning models. Welcome to the era of data-driven models

AI in the Digital Transformation Revolution: Industry perspective from Dale Tutt Part 1

Tue, 31 Oct 2023 15:00:00 -0000

Initially in part one, Dale unfolds the essence of digital transformation, paving the way for an enlightening discussion on how AI significantly propels optimization cycles, with mention of generative design. The discussion then navigates towards real-world applications of AI, with Dale shedding light on mundane yet significant use cases where AI can be instrumental. This segment of the conversation sets a solid foundation, wrapping up with an appreciation for the enlightening discussion thus far, and a teaser for the upcoming exploration of digitalization across various industries in the second part of the podcast.

Exploring Generative AI Part 3

Fri, 15 Sep 2023 17:53:58 -0000

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 down on many of these time limiting factors, offering a new level of flexibility across countless domains.

In this episode, host Spencer Acain is joined by Dr. Justin Hodges, an AI/ML Technical Specialist and Product Manager for Simcenter to look ahead at the many ways generative AI is poised to change the industrial world.

In this episode you will learn:

- The future of AI-generated designs (0:46)

- How to rely on generative AI? (6:41)

- The need for human education (11:21)

Exploring Generative AI Part 2

Wed, 23 Aug 2023 19:15:42 -0000

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 design space, enabling new methods such as inverse design while expanding new capabilities atop existing systems.

In this episode, host Spencer Acain is joined by Dr. Justin Hodges, an AI/ML Technical Specialist and Product Manager for Simcenter to consider the applications of generative AI in expanding the design space and building new functionality in the world of design and simulation.

In this episode you will learn:

- Generative AI for inverse design (4:21)

- AI in requirement driven design (9:00)

- The value of a connected tool chain (12:20)

Exploring Generative AI Part 1

Thu, 03 Aug 2023 16:00:00 -0000

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 AI can redefine existing processes and enable new, previously impractical ideas to breakdown the barriers between people, information, and technology.

In this episode, host Spencer Acain is joined by Dr. Justin Hodges, an AI/ML Technical Specialist and Product Manager for Simcenter to discuss the many applications of generative AI to the CAE process and what that means for the future of product design.

In this episode you will learn:

- What is Generative AI? (2:56)

- Applications of Generative AI in simulation and design (7:44)

- How Generative AI eases the burden on users (9:25)

- How Generative AI makes data easier to access (11:34)

Understanding Engineering Intent with AI Part 3

Wed, 19 Jul 2023 16:54:00 -0000

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 way Supplyframe does it is easy to see why AI is a valuable tool there thanks to a staggering volume of available data. However, gaining insight and actionable information from all that noise is no easy feat.

In this episode, host Spencer Acain is joined one again by Richard Barnett, Chief Marketing Officer for Supplyframe, to explore the ways AI leveraging the massive data available in the global electronics market and where he sees AI going in the future.

In the episode you will learn:

· How Supplyframe gets training data (1:03)

· Expanding into the world of mechanical design (8:03)

· Impact of generative AI (12:08)

Understanding Engineering Intent with AI Part 2

Wed, 28 Jun 2023 16:00:00 -0000

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. Understanding the complex interplay between various factors is vital for success in the global market and a field where AI can provide invaluable assistance.

In this episode, host Spencer Acain is joined by Richard Barnett, Chief Marketing Officer of Supplyframe to examine the ways AI is helping to find patterns and correlations in the vast web of data generated by the global supply chain.

Understanding Engineering Intent with AI Part 1

Thu, 08 Jun 2023 20:57:01 -0000

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 becomes far more difficult. This is exactly the challenge Supplyframe seeks to address with AI by understanding not just the engineering intent of companies buying electronic components but what impact events in the larger world will have as well.

In this episode, host Spencer Acain is joined by Richard Barnett, CMO of Supplyframe to discuss the ways their using AI to predict market in the electronics industry and what those predictions allow them to do.

The Role of Machine Learning in IC Verification

Wed, 19 Apr 2023 15:00:00 -0000

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 perfectly and are rigorously verified so any problems can be corrected in future revisions. However, test data can only narrow down the cause of a problem to a certain degree and narrowing it down further is a key area where machine learning is coming into play.

In this episode of AI Spectrum, Spencer Acain is joined by an expert from Siemens EDA with more than 20 years experience to discuss the ways machine learning is playing an important role in the verification of these complex chips.

In this episode you will learn:

· The use of AI/ML in the chip verification process (0:44)

· Difficulties in identifying root cause (6:58)

· Challenges of analyzing large chips (09:38)

· Gathering ML training data (11:37)

· The push for industry standardization (15:10)

Designing the Next Generation of AI Chips Part 2

Tue, 21 Mar 2023 15:00:00 -0000

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 only allows for aggressive optimization of power usage and performance but the possibility of integrating AI itself into the design process for even greater gains. As the design process becomes increasingly interdisciplinary, HLS also offers a path to integrating electronics into MBSE workflows.

In this episode of AI Spectrum, Spencer Acain is once again joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team to discuss the benefits of HLS and the ways it will integrate with AI in the future.

In this episode you will learn:

· HLS-designed accelerators vs. general purpose accelerators (00:30)

· How HLS compares to manual optimization (03:18)

· How AI improves on optimization heuristics (07:27)

· Integrating chips into the MBSE process (11:39)

Connect with Russell Klein:

· LinkedIn

Connect with Spencer Acain:

· LinkedIn

Designing the Next Generation of AI Chips

Tue, 28 Feb 2023 16:00:00 -0000

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, Spencer Acain is joined by Russell Klein, program director at Siemens EDA and a member of the Catapult HLS team to discuss the benefits of HLS and why it is playing a key role in developing the AI accelerators of tomorrow.

In this episode you will learn:

· How Catapult can support AI (00:32)

· AI accelerators vs. GPUs (02:32)

· What is HLS? (04:25)

· How HLS verifies algorithms instead of transistors (10:27)

· Usage of HLS designed chips (11:32)

Connect with Russell Klein:

· LinkedIn

Connect with Spencer Acain:

· LinkedIn

How AI Revolutionized IC Validation and Characterization

Tue, 31 Jan 2023 14:00:00 -0000

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 Amit Gupta, VP & GM of the Analog/Mixed-Signal Division at Siemens EDA and serial entrepreneur and founder of Solido Design Automation before its acquisition by Siemens EDA in 2017. Amit discusses why he and his team were such early adopters of AI/ML technology and the benefits of using it in the EDA space.

In this episode you will learn:

· The role of AI in Solido (1:58)

· The benefits of AI in EDA (4:00)

· Validating multi-billion transistor chip designs using ML (8:32)

· Why Solido was at the forefront of AI/ML adoption (15:16)

· AI collaboration across industries (21:04)

Connect with Amit Gupta:

Connect with Spencer Acain:

AI Spectrum – Simplifying Simulation with AI Technology - Part 4

Thu, 05 Jan 2023 14:00:00 -0000

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 Technical Specialist and Product Manager for Simcenter. Justin discusses not only the ways AI is enabling connections between tools but also the challenges and benefits of PINNs and AI in physics going forward.

In this episode you will learn:

· How AI is driving connections between tools (00:32)

· How AI is changing physics-based simulation (4:40)

· The challenges of using PINNs (6:36)

· The benefits of PINNs (8:50)

· Where AI is going in the future (12:08)

Connect with Justin Hodges:

Connect with Spencer Acain:

How is generative engineering changing mechanical design?

Fri, 16 Dec 2022 15:00:00 -0000

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 companies looking to capture their market.

To discuss this shift and what it means for the companies adopting these new techniques, one of our guest hosts – Nicholas Finberg, a writer for the Thought Leadership team at Siemens Digital Industries Software – sat down with one of the NX product managers – Tod Parrella. Together they talk through the concept of generative design, why it’s different from topology optimization, and how it can be applied to the other challenges businesses are trying to solve.

If you are interested in learning more about the how of this process and what Siemens is doing with AI and machine learning to improve the capabilities, check out the sister podcast on the AI Spectrum series from Siemens Software – hosted by Spencer Acain.

Connect with Tod Parrella:

Connect with Nick Finberg:

AI Spectrum – Simplifying Simulation with AI Technology Part 3

Thu, 08 Dec 2022 17:22:00 -0000

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 Specialist and Product Manager for Simcenter. Justin highlights some of the ways AI is helping build connections between different tools, and where that will lead in the future.

In this episode you will learn:

- How AI enables interconnected technology (2:18)

- How AI is evolving through cross pollination between fields (5:57)

- The ways AI facilitates the transfer of simulations and data between tools (10:47)

- How AI will help parallelize the design process (14:33)

- Knowledge capture through AI (16:55)

Connect with Justin Hodges:

Connect with Spencer Acain:

AI Spectrum – Examining the Benefits of AI Powered Generative Design

Tue, 01 Nov 2022 13:00:00 -0000

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 the benefits of Generative Design and the challenges it faces in building trust as a new technology.

In this episode, you will learn:

The importance of Generative Design (00:51)
How the role of engineers and designers is changing (06:35)
Building trust in AI (11:54)
Early adopters of generative practices (15:17)
AI beyond Generative Design (19:06)

The Use of AI Technology in Product Design

Tue, 11 Oct 2022 09:00:00 -0000

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 capabilities help in simulation. He’ll also share with us how Siemens is approaching the field of AI/ML.

Tune in and learn more about how AI/ML is being applied in the world of product modeling and testing.

In this episode, you will learn:

Predictive capabilities of AI in simulation and design (00:35)
How product testing benefits from AI/ML technology (03:55)
Simcenter’s competitive advantage in the field of AI/ML (06:02)
How to build trust in AI solutions (10:04)

Connect with Justin Hodges:

Connect with Spencer Acain:

Simplifying Simulation with AI Technology

Tue, 20 Sep 2022 09:00:00 -0000

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 in which Simcenter is using AI technology. He’ll also share with us the benefits of using AI in simulation.

Tune in and learn more about how AI is transforming the world of product modeling and testing.

In this episode, you will learn:

How Simcenter is currently using AI technology (02:22)
How Simcenter is using AI to improve the user’s experience (04:20)
How AI is used in classifying different parts of a car (06:54)
How AI helps in optimization simulation scenarios (08:19)

Connect with Justin Hodges:

Connect with Spencer Acain:

Understanding Siemens NX’s New Sketch Solver

Wed, 07 Sep 2022 09:00:00 -0000

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 Management group focused on the NX design tools. They’ll help us understand the new Sketch Solver and the impact it is having on the market.

In this episode, you’ll learn about how Siemens NX’s new Sketch Solver works and how it compares to the traditional Solver. You’ll also learn about the new features that have been introduced and how they impact design speed and accuracy. Additionally, you’ll learn about how the market is reacting to this new product.

What You’ll Learn in this Episode:

How the new Sketch Solver works (01:52)
Why the NX team decided to update the Sketch Solver (04:07)
The difference between the new Sketch Solver and traditional sketchers (07:11)
Questions that customers are asking about the new Sketch Solver (12:38)
How the new Sketch Solver helps you attain 30% savings in time (20:05)

Connect with Scott Felber:

Connect with Mike Yoder:

Email: michael.yoder@siemens.com

Connect with Spencer Acain:

Exploring Siemens NX’s Smart Human Interactions Feature - Part 2

Tue, 28 Jun 2022 09:00:00 -0000

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, responsible for driving innovations inside Siemens NX. He’ll share with us how Siemens NX is using AI to accelerate the design process.

Tune in and learn more about how AI is transforming the world of mechanical engineering software.

In this episode, you will learn:

How AI in NX will help with virtual reality (00:48)
How AI is helping NX takes prediction to the next level (02:07)
How NX is speeding the design process using ML (05:49)
The future of AI in NX (09:36)

Connect with Shirish More:

Connect with Spencer Acain:

Exploring Siemens NX’s Smart Human Interactions Feature

Wed, 08 Jun 2022 09:00:00 -0000

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. He’ll share with us how they are using AI to personalize NX users’ experience and improve productivity.

Tune in and learn more about how AI is transforming the world of mechanical engineering software.

In this episode, you will learn:

The role played by AI in mechanical engineering software (01:34)
The direct benefits of using AI (02:12)
The meaning of personalization in the context of AI (05:41)
Areas where AI is being implemented to improve Siemens NX users' experience (12:14)

Connect with Shirish More:

Connect with Spencer Acain:

The Use of Synthetic Data in AI model Training

Wed, 11 May 2022 09:00:00 -0000

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 advanced robotics simulation capabilities at Siemens. He’ll help us understand AI model training for factory robots. He’ll also share with us how Siemens solutions such as CAD and NX help in model development.

In this episode, you’ll learn about the use of synthetic data in training AI-reliant factory robots. You’ll also learn about the challenges and the benefits that come with combining synthetic data with real data. Additionally, you’ll learn about Synth AI, a new synthetic data generating solution from Siemens.

In this episode, you will learn:

The meaning of synthetic data (03:03)
The challenges that come with the use of synthetic data (04:19)
The benefits of using synthetic data (08:05)
Why the use of synthetic data has been on the rise (11:06)
Other uses of synthetic data besides AI model training (17:25)

Connect with Zachi Mann:

Connect with Spencer Acain:

Exploring the Impact of AI in CFD

Fri, 13 Aug 2021 09:00:00 -0000

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 computational fluid dynamics (CFD), the benefits and the challenges in implementing AI into CFD simulations, as well as the different techniques that are deployed in CFD.

Tune in and learn more about the process of integrating AI into CFD, and the impact it’s having on the users.

In this episode, you will learn:

What is computational fluid dynamics (CFD)? (3:11)
How the CFD journey looks like for the customer (4:40)
How AI is used in interpreting CFD simulation results (14:02)
What AI techniques are deployed in CFD (15:43)
The AI model training process in CFD (17:12)
How customers are using AI in CFD (19:24)
Where AI/ML will be in the future (21:53)
The benefits of bringing AI into CFD simulation (24:48)
The challenges faced by customers in AI-powered CFD adoption (25:44)

Connect with Krishna Veeraraghavan:

Connect with Thomas Dewey:

Understanding Industrial-Grade AI and AI Performance Risk Insurance

Thu, 29 Jul 2021 09:00:00 -0000

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 AI performance risk insurance and the progress of industrial-grade AI.

Tune in and learn more about what’s happening in the field of AI, the challenges it’s facing, and what the future holds for it.

In this episode, you will learn:

How AI performance risk contributes to the adoption of technology (2:32)
What industrial-grade AI concept entails (7:09)
Ingredients of industrial-grade AI (8:03)
Challenges facing industrial-grade AI development (10:20)
Importance of AI models’ robustness (11:06)
How AI risk is assessed by an insurer (13:32)
Qualities of a good AI solution (14:36)
Experts' thoughts on where AI will be in 3-4 years (17:35)

Connect with Michael Berger:

Connect with Boris Scharinger:

Connect with Thomas Dewey:

Deploying AI’s Object Recognition in Factories

Thu, 15 Jul 2021 09:00:00 -0000

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 about computer vision in machine learning as well as the use of synthetic data in model training.

Some Questions I Ask:

How do you see AI impacting the industrial industry? (3:06)
What are the unique challenges of employing AI/ML in the industrial environment? (10:59)
What are you doing at Siemens to help solve the industrial environment’s AI/ML challenges? (19:33)
What do you do to validate the correctness of synthetic data? (23:15)
Can you predict what you think will happen with machine learning in the next 10 years? (26:57)

In this episode, you will learn:

Different tasks of computer vision machine learning (11:30)
How to train an object detection model (16:34)
How synthetic images are used in ML model training (20:56)
How to validate synthetic data (23:38)
The benefits of partnerships between Siemens and their customers (25:08)

Connect with Shahar Zuler:

Connect with Thomas Dewey:

Understanding the Role of AI and How to Use Data

Wed, 02 Jun 2021 08:00:00 -0000

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:

Connect with Thomas Dewey:

Addressing Design Flow Gaps and Creating Generic AI Solutions

Thu, 29 Apr 2021 09:00:00 -0000

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:

Connect with Ellie Burns:

Resources:

Identifying Hardware Design Challenges and AI at the Edge

Thu, 01 Apr 2021 09:00:00 -0000

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:

Connect with Ellie Burns:

Resources:

Understanding Training vs Inferencing and AI in Industry

Thu, 04 Mar 2021 11:00:00 -0000

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:

Exploring AI and ML and Understanding Networks

Thu, 04 Feb 2021 11:00:00 -0000

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:

Connect with Ellie Burns:

Resources:

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