Uploaded July 2025 | Updated September 2026, 2 weeks ago
Follow SAI Conferences on Linkedin: linkedin.com/company/saiconference
Conference Website: saiconference.com/Computing
Join us for an insightful conversation with Kevin Fischer, recorded live at the Computing Conference 2025 in London.
In this exclusive interview, Kevin shares his journey from working on AI-driven image analysis at Infineon Technologies to his current research in simulation-based reinforcement learning for autonomous systems. He discusses the power of small language models for natural language processing (NLP), how they can outperform large models like ChatGPT in specific tasks, and why embedded, efficient AI matters for the real world.
🔍 Key Topics Covered:
đź“ŚAI research in NLP and reinforcement learning
đź“ŚSimulation environments for autonomous robotics
đź“ŚLarge vs. small language models
đź“ŚAcademic research by bachelor-level students
đź“ŚSustainable and efficient AI development
đź“ŚReflections on attending Computing Conference 2025
👤 About the Interviewee
Kevin Fischer
M.Sc. Candidate & Project Engineer
East Bavarian Technical University, Amberg (Germany)
Kevin Fischer is a graduate student specializing in Artificial Intelligence, with a focus on deep reinforcement learning, simulation environments, and AI-driven defect detection. He currently works on Gazebo-based simulation for unmanned ground vehicles (UGVs) and has previously contributed to AI projects at Infineon Technologies involving computer vision and image analysis in semiconductor quality control.
đź“Ś Whether you're a student, researcher, or tech enthusiast, this video offers fresh insights into the future of AI, academic innovation, and the real-world impact of lightweight AI models.
Follow SAI Conferences on Linkedin: linkedin.com/company/saiconference
Conference Website: saiconference.com/Computing
Join us for an insightful conversation with Kevin Fischer, recorded live at the Computing Conference 2025 in London.
In this exclusive interview, Kevin shares his journey from working on AI-driven image analysis at Infineon Technologies to his current research in simulation-based reinforcement learning for autonomous systems. He discusses the power of small language models for natural language processing (NLP), how they can outperform large models like ChatGPT in specific tasks, and why embedded, efficient AI matters for the real world.
🔍 Key Topics Covered:
đź“ŚAI research in NLP and reinforcement learning
đź“ŚSimulation environments for autonomous robotics
đź“ŚLarge vs. small language models
đź“ŚAcademic research by bachelor-level students
đź“ŚSustainable and efficient AI development
đź“ŚReflections on attending Computing Conference 2025
👤 About the Interviewee
Kevin Fischer
M.Sc. Candidate & Project Engineer
East Bavarian Technical University, Amberg (Germany)
Kevin Fischer is a graduate student specializing in Artificial Intelligence, with a focus on deep reinforcement learning, simulation environments, and AI-driven defect detection. He currently works on Gazebo-based simulation for unmanned ground vehicles (UGVs) and has previously contributed to AI projects at Infineon Technologies involving computer vision and image analysis in semiconductor quality control.
đź“Ś Whether you're a student, researcher, or tech enthusiast, this video offers fresh insights into the future of AI, academic innovation, and the real-world impact of lightweight AI models.
