"This Tiny Chip Can Safeguard User Data While Enabling Efficient Computing on a Smartphone"
"This Tiny Chip Can Safeguard User Data While Enabling Efficient Computing on a Smartphone"
Researchers from the Massachusetts Institute of Technology (MIT) and the MIT-IBM Watson AI Lab developed a new chip that can efficiently accelerate Machine Learning (ML) workloads on edge devices such as smartphones while securing sensitive user data against two common types of attacks: side-channel attacks and bus-probing attacks. Health-monitoring apps can be slow and energy-inefficient as the ML models behind them must be shuttled between a smartphone and a central memory server.