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)
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13:00
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13:00
Building a time series foundation model
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)
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13:04
Understanding the intersection of AI and simulation – Part 3
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)
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12:30
Understanding the intersection of AI and simulation – Part 2
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)
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23:17
Understanding the intersection of AI and simulation – Part 1
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)
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.
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