Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
We present a dynamic bit-width adaptation scheme in DCT applications for efficient trade-off between image quality and computation energy. Based on sensitivity differences of 64 ...
Many networking applications require fast state lookups in a concurrent state machine, which tracks the state of a large number of flows simultaneously. We consider the question ...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
In embedded cryptosystems, sensitive information can leak via timing, power, and electromagnetic channels. We introduce a novel power-smart system-on-chip architecture that provid...
Radu Muresan, Haleh Vahedi, Y. Zhanrong, Stefano G...