Prof. Dr. Jakub Tomczak from TU Eindhoven discusses GenAI Systems, Simulink's importance, and being NeurIPS Chair. Podcast covers material search engines, combining symbolic and sub-symbolic approaches, evolution of AI in operating systems, and insights on AI systems in industrial environments.
Gen AI systems integrate deep learning and molecular simulation for cutting-edge material design.
AI education reforms are crucial to prepare students for the future digital landscape.
Generative AI models are reshaping communication and have potential applications in operating systems.
Deep dives
Genesis of Industrial AI Podcast Episode Insights
The podcast delves into cutting-edge Gen AI systems leveraging generative AI, deep learning, and molecular simulation for material design.
Integration of AI in Industrial Processes
The episode highlights the importance of integrating AI in industries by focusing on tools like Gen AI systems and their potential applications in creating agents for innovative solutions.
Challenges and Advancements in AI Education
The discussion touches upon the need for AI-focused education reforms to engage students in high-level AI concepts from an early age, preparing them for the future digital landscape.
Evolution of Generative AI Models
The podcast emphasizes the evolution of generative AI models, discussing their role in reshaping communication through natural language and envisioning their potential as part of operating systems.
NeurIPS 2024 Conference Insights
Insights about the NeurIPS 2024 Conference are shared, highlighting the scale of submissions, need for additional reviewers, and the growing significance of workshops within the AI community.
Our guest is Prof. Dr. Jakub Tomczak. He works at the TU Eindhoven. His focus: GenAI Systems. He explains his approach, why Simulink plays a role and how he became the NeurIPS Chair.
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