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...
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
In this paper, we present a pseudo-collision attack on the compression function of all Twister variants (224,256,384,512) with complexity of about 226.5 compression function evalua...
Florian Mendel, Christian Rechberger, Martin Schl&...
ct Defect-based testing for digital logic concentrates primarily on methods of test application, including for example at-speed structural tests and IDDQ testing. In contrast, defe...
Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex discrete signal processing algorithms with clock rates above 100MHz. This combined with FPGA’s lo...
Michael Haselman, Robert Miyaoka, Thomas K. Lewell...