Securing the “internet of things” in the quantum age
CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks
GAZELLE: A Low Latency Framework for Secure Neural Network Inference
More efficient security for cloud-based machine learning
Neural networks everywhere
Energy-efficient encryption for the internet of things
Voice control everywhere
Chandrakasan receives honorary doctorate from KU Leuven
Hack-proof RFID chips
A virtual “guide dog” for navigation