About Event

This FDP covers semiconductor devices, systems, applications, interoperability, standards, modeling, design, simulation, analytical methods, and health and safety applications. It aims to unite professionals and academics to share knowledge and address limitations in semiconductor systems. Participants learn about semiconductor devices, silicon's interior workings, and their development for everyday life. AI algorithms can optimize the design process for semiconductor chips by analyzing large amounts of data and identifying performance patterns. AI can also aid in customization, generating designs that meet specific computing tasks, making them suitable for emerging applications like edge computing. AI can also enhance performance by optimizing designs for speed, throughput, and energy efficiency. This accelerates development cycles, reduces time-to-market, and improves fault tolerance and reliability. The program aims to teach participants about AI's role in semiconductor design, its applications, and the significance of Field-Programmable Gate Arrays (FPGAs) in next-generation computing systems. The program will include hands-on workshops, industry perspectives, and practical projects to apply AI-driven design techniques to real-world projects. Participants will learn from industry experts and work in teams to conceptualize, design, and implement AIdriven solutions. The goal is to equip participants with the knowledge and skills to drive innovation in semiconductor design.