Foundation Models vs. Traditional ML for Time-Series

From cutting-edge grippers to Gemini’s world-building vision - insights from Schunk’s CTO and Google DeepMind’s Phillip Lippe

In this episode, I sit down with Schunk CTO Timo Gessmann and Google DeepMind’s Phillip Lippe to explore how AI is transforming the world of robotics and industrial automation. We kick things off with Timo, who shares his vision for merging mechanical expertise with AI, the challenges of attracting top talent, and why Europe needs its own world-class robotics models.

Then, I’m joined by Phillip Lippe from the Gemini team, who dives into the latest advances in generative AI, the power of foundation models, and what the future holds for scalable, domain-specific intelligence. Whether you’re fascinated by embodied AI, curious about industry trends, or want a peek into the minds shaping tomorrow’s robots, this episode is packed with insights you won’t want to miss.

Siemens

https://www.siemens.com/global/en.html

Schunk

https://schunk.com/

Google Gemini

https://deepmind.google/technologies/gemini/

Google DeepMind

https://deepmind.google/

NVIDIA

https://www.nvidia.com/

ROS (Robot Operating System)

https://www.ros.org/

Automatica Munich

https://automatica-munich.com/en/

Bosch

https://www.bosch.com/

EPi by AI (European Processor Initiative)

https://www.european-processor-initiative.eu/

NVIDIA GTC

https://www.nvidia.com/gtc/

NXAI

https://www.nxai.io/

Samsung Nano model

https://research.samsung.com/artificial-intelligence

NeurIPS

https://nips.cc/