AI for Semicon
Artificial Intelligence brings unprecedented opportunities for the design and production of chips, yet its full potential is still on the horizon. What are the lessons learned in the semicon industry? How can they benefit from the latest academic advancements? And what is the role of public-private collaboration in this process? Join our interactive discussion to exchange insights and help define the future of AI-powered semiconductors.
Panel members:
Erwin Folmer (Lector Applied Data Science & AI at HAN University of Applied Sciences)
Disruptive Neuro-Symbolic AI: Although AI is widely used in the semicon industry – from chip design to predictive maintenance – the current systems are far from ideal. They fail to incorporate the rich domain expertise of experienced engineers. In this pitch Erwin Folmer (HAN) will explain why Neuro-Symbolic AI will be a game changer, combining pattern recognition with logical reasoning.
Mahyar Shahsavari (Assistant Professor AI at Radboud University)
The AI department at the Donders Institute for Brain, Cognition and Behavior is concerned with learning to understand natural intelligence and developing advanced AI algorithms and intelligent technology. Neuromorphic computing is now a key focus, bringing brain-inspired, ultra-low-power, real-time intelligence to the next generation of AI. In collaboration with ASMPT, we develop explainable AI solutions for reliable inspection and smarter process control in semiconductor manufacturing.
Faysal Boughorbel (Director of R&D – AI and Computer Vision at ASMPT)
Lights-out factories are expected to be at the heart of a new era of manufacturing renaissance. The Semiconductor industry is an early adopter. In this session, we will shed light on our efforts at ASMPT in the arenas of Machine Vision and Mutimodal Embodied AI, as well as on our drive for low-energy compute platforms. All being key elements in our autonomous fab vision.
The session will be hosted by Esther van Straten, Managing Director Radboud AI at Radboud University.