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From parades to protocols and AI literacy
Manage episode 508292808 series 2579209
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
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)
Model Context Protocol (MCP)
https://github.com/modelcontext/protocol
ABB Robotics
https://new.abb.com/products/robotics
Landing AI
Andrew Ng
BMW Neue Klasse
https://www.bmw.com/en/innovation/bmw-neue-klasse.html
ASML
NVIDIA
Intel
AMD
Elements of AI
MinnaLearn
EU AI Act
https://artificialintelligenceact.eu/
GDPR (General Data Protection Regulation)
310 에피소드
Manage episode 508292808 series 2579209
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
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)
Model Context Protocol (MCP)
https://github.com/modelcontext/protocol
ABB Robotics
https://new.abb.com/products/robotics
Landing AI
Andrew Ng
BMW Neue Klasse
https://www.bmw.com/en/innovation/bmw-neue-klasse.html
ASML
NVIDIA
Intel
AMD
Elements of AI
MinnaLearn
EU AI Act
https://artificialintelligenceact.eu/
GDPR (General Data Protection Regulation)
310 에피소드
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