deep learning
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244: The xLSTM paper and a gripper
Peter Seeberg and Robert Weber talk about Hochreiter’s xLSTM paper, about Schunk’s 2D Gripper with GenAI…
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219: Autonomous Industrial AI for production scheduling
Peter Seeberg talked to Bryan DeBois Director of Industrial AI at RoviSys. RoviSys is a global…
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218: GenAI: More than ChatGPT. A new paradigm for the industrial sector
Prof. Dr. Jakub Tomczak has been researching GenAI for 10 years. He represents a new generation…
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210: Robustness and generalization performance of Deep Learning Models on Cyber-Physical Systems
We are back from the summer break. In this episode, Peter Seeberg talks to Prof. Dr.…
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202: Women in AI & Robotics: Can truly reliable DL models exist on given hardware systems at all?
We are very proud to present the first edition of Women in AI & Robotics. Sheila…
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168: MCML: Where do we want the core AI/ML research to happen?
We spoke with the three directors of the MCML about research priorities, the battle for the…
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167: Deep Vision: Technology trends with Cees Snoek
If you want to know how computer vision and AI are developing, you have to travel…