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From parades to protocols and AI literacy

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Manage episode 508334908 series 3442204
Content provided by Robert Weber / Peter Seeberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robert Weber / Peter Seeberg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
From parades to protocols, we explore AI literacy, regulation, and the future of work. Discover how Europe’s AI Act is reshaping industry.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

In this episode, we dive into the evolving landscape of industrial AI, starting with a lively Oktoberfest recap before shifting gears to the latest breakthroughs in physics-informed neural networks and user interfaces. We discuss the real-world impact of Europe's AI Act, featuring insights from industry leaders and an in-depth interview with Sampo Lino of MinnaLearn on building AI literacy for enterprises. As we unpack strategic investments, robotics trends, and the challenges of compliance, we question what it means to use AI safely and competitively. Throughout the conversation, we keep it grounded in everyday experience—how regulation, technology, and practical learning are shaping the factories and workplaces of tomorrow. Tune in to hear how we’re navigating this complex, fast-moving frontier and what it means for anyone working with AI today.

DeepMind

https://www.deepmind.com/

Ray Kurzweil

https://en.wikipedia.org/wiki/Ray_Kurzweil

Physics-Informed Neural Networks (PINNs)

https://www.nature.com/articles/s42254-021-00314-5

Olga Fink

https://people.epfl.ch/olga.fink

EPFL (École Polytechnique Fédérale de Lausanne)

https://www.epfl.ch/en/

Model Context Protocol (MCP)

https://github.com/modelcontext/protocol

ABB Robotics

https://new.abb.com/products/robotics

Landing AI

https://landing.ai/

Andrew Ng

https://www.andrewng.org/

BMW Neue Klasse

https://www.bmw.com/en/innovation/bmw-neue-klasse.html

ASML

https://www.asml.com/

NVIDIA

https://www.nvidia.com/

Intel

https://www.intel.com/

AMD

https://www.amd.com/

Elements of AI

https://www.elementsofai.com/

MinnaLearn

https://www.minnalearn.com/

EU AI Act

https://artificialintelligenceact.eu/

GDPR (General Data Protection Regulation)

https://gdpr.eu/

  continue reading

308 episodes

Artwork
iconShare
 
Manage episode 508334908 series 3442204
Content provided by Robert Weber / Peter Seeberg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robert Weber / Peter Seeberg or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
From parades to protocols, we explore AI literacy, regulation, and the future of work. Discover how Europe’s AI Act is reshaping industry.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

In this episode, we dive into the evolving landscape of industrial AI, starting with a lively Oktoberfest recap before shifting gears to the latest breakthroughs in physics-informed neural networks and user interfaces. We discuss the real-world impact of Europe's AI Act, featuring insights from industry leaders and an in-depth interview with Sampo Lino of MinnaLearn on building AI literacy for enterprises. As we unpack strategic investments, robotics trends, and the challenges of compliance, we question what it means to use AI safely and competitively. Throughout the conversation, we keep it grounded in everyday experience—how regulation, technology, and practical learning are shaping the factories and workplaces of tomorrow. Tune in to hear how we’re navigating this complex, fast-moving frontier and what it means for anyone working with AI today.

DeepMind

https://www.deepmind.com/

Ray Kurzweil

https://en.wikipedia.org/wiki/Ray_Kurzweil

Physics-Informed Neural Networks (PINNs)

https://www.nature.com/articles/s42254-021-00314-5

Olga Fink

https://people.epfl.ch/olga.fink

EPFL (École Polytechnique Fédérale de Lausanne)

https://www.epfl.ch/en/

Model Context Protocol (MCP)

https://github.com/modelcontext/protocol

ABB Robotics

https://new.abb.com/products/robotics

Landing AI

https://landing.ai/

Andrew Ng

https://www.andrewng.org/

BMW Neue Klasse

https://www.bmw.com/en/innovation/bmw-neue-klasse.html

ASML

https://www.asml.com/

NVIDIA

https://www.nvidia.com/

Intel

https://www.intel.com/

AMD

https://www.amd.com/

Elements of AI

https://www.elementsofai.com/

MinnaLearn

https://www.minnalearn.com/

EU AI Act

https://artificialintelligenceact.eu/

GDPR (General Data Protection Regulation)

https://gdpr.eu/

  continue reading

308 episodes

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