TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems

Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types

FireLoc: Low-latency Multi-modal Wildfire Geolocation

Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence

Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits

Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors

MaskVD: Region Masking for Efficient Video Object Detection

Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ

PERIPHERAL CIRCUITS FOR PROCESSING IN-PIXEL

Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence

Training Ultra-Low-Latency Spiking Neural Networks from Scratch

Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology

Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement

Challenges and Unexplored Frontiers in Electronic Design Automation for Superconducting Digital Logic

Block Selective Reprogramming for On-device Training of Vision Transformers

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models

Programming memristor arrays with arbitrarily high precision for analog computing

Linearizing Models for Efficient yet Robust Private Inference

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units