CAS Seasonal School 2025: Advanced Circuit Design for AI Workloads
About the Seasonal School
The Seasonal School on Advanced Circuit Design for AI Workloads is a flagship initiative by the IEEE Circuits and Systems Society (CAS), Bangalore Chapter. This immersive, week-long program serves as a premier academic and industry-aligned forum spotlighting the critical role of advanced circuits in enabling next-generation AI systems.
As artificial intelligence workloads grow increasingly complex and compute-intensive, there is a pressing demand for high-performance, energy-efficient hardware. This Seasonal School addresses that challenge by convening circuit designers, AI system architects, researchers, and industry leaders to explore how cutting-edge circuit design is shaping the foundation of AI hardware.
Through a rich blend of expert keynotes, focused tutorials, practical workshops, and panel discussions, participants will dive deep into the design paradigms and technologies powering today’s intelligent systems. From low-power analog and mixed-signal circuits to memory bandwidth optimization and custom hardware accelerators, the school provides an in-depth learning experience with real-world relevance.




Event Highlights
Discover an insightful lineup of sessions dedicated to Advanced Circuit Design for AI Workloads. This summit provides a platform for industry professionals, speakers, and delegates to engage in meaningful discussions, explore technological advancements, and foster industry collaborations.
For Professionals
Gain insights into the latest trends, technologies, and innovations incutting-edge AI hardware design trends. The summit offers technical sessions, panel discussions, and product showcases tailored for industry professionals, students, and tech enthusiasts.
For Speakers
Share your expertise and knowledge on emerging topics in cutting-edge AI hardware design trends. Join an exclusive panel of experts, thought leaders, to discuss industry challenges, present research, and inspire the next generation of engineers.
For Delegates
Connect with industry peers, explore partnership opportunities, and engage in collaborative projects. The summit provides a space for business and technical delegates to network and build connections with like-minded professionals in memory and storage.
Venue & Dates
📍 Venue: To Be Announced, Bengaluru
Dates: Expected in June 2025 (Exact Dates Coming Soon)
Event Agenda
Begin Time (IST) | End Time (IST) | Duration (minutes) | Topic |
---|---|---|---|
8:45 AM | 9:30 AM | 45 | Registration and Kit Distribution |
9:30 AM | 10:00 AM | 30 | Inauguration |
10:00 AM | 10:45 AM | 45 | Keynote 1 |
10:45 AM | 11:00 AM | 15 | Tea Break & Networking |
11:00 AM | 11:45 AM | 45 | Session 1 |
11:45 AM | 12:30 PM | 45 | Session 2 |
12:30 PM | 1:00 PM | 30 | Startup Talk |
1:00 PM | 1:45 PM | 45 | Lunch & Networking |
1:45 PM | 2:30 PM | 45 | Session 3 |
2:30 PM | 3:15 PM | 45 | Session 4 |
3:15 PM | 3:30 PM | 15 | Tea Break & Networking |
3:30 PM | 4:15 PM | 45 | Valedictory |
📝 Registrations Now Open!
Join industry leaders and experts for a full day of insights and networking opportunities. Secure your place at the Seasonal School on Advanced Circuit Design for AI Workloads by registering on Explara.
🔹 IEEE CAS Members: ₹750
🔹 IEEE Members: ₹1000
🔹 Non-IEEE Professionals: ₹1500
🔹 IEEE CAS Student Members: ₹500
🔹 IEEE Student Members: ₹750
🔹 Non-IEEE Students: ₹1000
Join the next generation of innovators in AI hardware! The Seasonal School is open to postgraduate students, postdoctoral researchers, final-year B.Tech students, and industry professionals who are passionate about circuit design and AI systems.
Your registration includes access to keynotes, tutorials, networking sessions, and an official certificate of participation.
Spots are limited — secure your place early!
(Registration link coming soon)
Sponsorship Opportunity
Join us as a sponsor to gain visibility among industry leaders in AI and Hardware Workloads.
Organizing Committee
Meet the talented team behind the Seasonal School on Advanced Circuit Design for AI Workloads, a group of professionals dedicated to making this event a success.