Objective: Deep biomedical models are often expressed by means of differential equations. Despite their expressive power, they are difficult to reason about and make decisions, g...
Critical issues in designing a high speed, low power static RAM in deep submicron technologies are described along with the design techniques used to overcome them. With appropria...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
We propose a new VLSI layout methodology which addresses the main problems faced in Deep Sub-Micron (DSM) integrated circuit design. Our layout "fabric" scheme eliminate...
Sunil P. Khatri, Amit Mehrotra, Robert K. Brayton,...
Heat is a main concern for processors in deep sub-micron technologies. The chip temperature is affected by both the power consumption of processor components and the chip layout....