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Abstract: In the landscape of Artificial Intelligence (AI), two complementary paradigms have emerged: cloud AI, which relies on centralized computing infrastructure, and edge AI, which performs intelligence directly on distributed devices at the network edge. Driven by the rapid growth of wearables, drones, and other Internet-of Things (IoT) devices, edge AI is increasingly pervasive and transforming the way intelligent services are delivered in everyday life.

This talk will focus on two key components of the edge AI design stack that critically influence the performance and energy efficiency of AI acceleration. First, we will discuss hardware-aware Neural Architecture Search (NAS), an automated framework for jointly optimizing neural network architectures and computing architectures for target workloads and deployment constraints. We will then explore recent advances in digital Compute-In Memory (CIM) and Compute-In- Logic (CIL) circuits, highlighting how architectural and circuit-level innovations can substantially improve the efficiency of AI computation. Finally, we will share how these approaches could potentially provide a practical pathway toward energy-efficient AI systems for next-generation edge platforms.

Bio: Bo Wang received the Ph.D. degree in electrical and electronic engineering from Nanyang Technological University, Singapore. In 2020, she joined Singapore University of Technology and Design, Singapore as an Assistant Professor. Her research interests span various aspects of energy-efficient architecture and circuit design, including machine learning acceleration, neuromorphic computing, compute- in-memory, and design automation for hardware-software co-optimization. She authored and co-authored many papers published at international journals and conference proceedings, including TNNLS, JSSC, TCAS-I, A-SSCC, DAC, ISLPED, etc.\

Prof. Wang received the Distinguished Design Award at the IEEE Asian Solid-State Circuits Conference (A-SSCC) in 2023.She was also a recipient of the Best Paper Award at the ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) in 2023 and the International SoC Design Conference (ISOCC) in 2024 and 2014. She is an IEEE senior member.

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1. Complete a Form B, Radiation Worker registration before attending class (you may need to be connected to the GT VPN). After the training, the completed Form B will be sent to your Authorized User (AU - this is whoever manages the x-ray machine you'll be using) for signature via DocuSign.
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Radiation Worker Registration and X-Ray Safety Training Sign-Up

1. Complete a Form B, Radiation Worker registration before attending class (you may need to be connected to the GT VPN). After the training, the completed Form B will be sent to your Authorized User (AU - this is whoever manages the x-ray machine you'll be using) for signature via DocuSign.
2. Go to Genius LMS and use your GT Login
3. Click "View Course Catalog"
4. Search for X-Ray
5. Click "Register" for your preferred date
6. Click "Proceed to Checkout" and follow the instructions

IF YOU HAVE TROUBLE REGISTERING, or IF YOU DON'T GET AN EMAIL IMMEDIATELY AFTER REGISTERING, please contact ors@ors.gatech.edu.

Radiation Worker Registration and X-Ray Safety Training Sign-Up

1. Complete a Form B, Radiation Worker registration before attending class (you may need to be connected to the GT VPN). After the training, the completed Form B will be sent to your Authorized User (AU - this is whoever manages the x-ray machine you'll be using) for signature via DocuSign.
2. Go to Genius LMS and use your GT Login
3. Click "View Course Catalog"
4. Search for X-Ray
5. Click "Register" for your preferred date
6. Click "Proceed to Checkout" and follow the instructions

IF YOU HAVE TROUBLE REGISTERING, or IF YOU DON'T GET AN EMAIL IMMEDIATELY AFTER REGISTERING, please contact ors@ors.gatech.edu.

Radiation Worker Registration and X-Ray Safety Training Sign-Up

1. Complete a Form B, Radiation Worker registration before attending class (you may need to be connected to the GT VPN). After the training, the completed Form B will be sent to your Authorized User (AU - this is whoever manages the x-ray machine you'll be using) for signature via DocuSign.
2. Go to Genius LMS and use your GT Login
3. Click "View Course Catalog"
4. Search for X-Ray
5. Click "Register" for your preferred date
6. Click "Proceed to Checkout" and follow the instructions

IF YOU HAVE TROUBLE REGISTERING, or IF YOU DON'T GET AN EMAIL IMMEDIATELY AFTER REGISTERING, please contact ors@ors.gatech.edu.