This tiny chip can safeguard user data while enabling efficient computing on a smartphone

A new chip can efficiently accelerate machine-learning workloads on edge devices like smartphones while protecting sensitive user data from two common types of attacks — side-channel attacks and bus-probing attacks.

​A new chip can efficiently accelerate machine-learning workloads on edge devices like smartphones while protecting sensitive user data from two common types of attacks — side-channel attacks and bus-probing attacks. A new chip can efficiently accelerate machine-learning workloads on edge devices like smartphones while protecting sensitive user data from two common types of attacks — side-channel attacks and bus-probing attacks.