ESWEEK 2021 Special Session - EdgeAI: New Applications, Systems, and Challenges
ESWEEK 2021 Special Session - Emergent Design Challenges for Embedded Systems and Paths Forward
ESWEEK 2021 Special Session - Automated Edge AI Design – A Jump in Efficiency
ESWEEK 2021 Special Session - Towards Scalable, Secure, and Smart Mission-Critical IoT Systems
ESWEEK 2021 Education - Introduction to Neuromorphic Computing
NOCS 2022 (Collocated with ESWeek 2022): Special Session II
Special Session: Brain-Inspired Hyperdimensional Computing
CASES: Security: from Transistors to Compilers
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation
SAFARI Live Seminar: Efficient DNN Training at Scale: from Algorithms to Hardware - Gena Pekhimenko
SWAP: A Server-scale Communication-aware Chiplet-based Manycore PIM Accelerator
[REFAI Seminar 10/24/22] Towards Functional Safety of Deep Learning Hardware Accelerators
EC9 – ML-Assisted Hardware Trojan Detection
[ZS2] SRAM-based In-Memory Computing for Energy-Efficient AI Systems
"The Politics and Technology of (Hardware) Trojans" Keynote of Christof Paar
Training Spiking Neural Networks Using Lessons From Deep Learning
GNN4TJ: Graph neural networks for hardware trojan detection at register transfer level
Introducing Retiarii: A deep learning exploratory-training framework on NNI
KDD 2020: Lecture Style Tutorials: Edge AI Systems Design and ML for IoT Data Analytics
PiM Project Course - Lecture 1: Exploring the Processing-in-Memory Paradigm (ETH Zürich, Fall 2020)
![[REFAI Seminar 10/24/22] Towards Functional Safety of Deep Learning Hardware Accelerators](https://img.youtube.com/vi/WzLMsFZXy2k/0.jpg)
![[ZS2] SRAM-based In-Memory Computing for Energy-Efficient AI Systems](https://img.youtube.com/vi/QU85hn8W3xg/0.jpg)
