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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:
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EPISOD LAIN DALAM PODCAST INI
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
s ...
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 te ...
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 ...
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
appl ...
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 ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Siemens Digital Industry Software, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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