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Articles 1 - 3 of 3
Full-Text Articles in Engineering
Physically Equivalent Intelligent Systems For Reasoning Under Uncertainty At Nanoscale, Santosh Khasanvis
Physically Equivalent Intelligent Systems For Reasoning Under Uncertainty At Nanoscale, Santosh Khasanvis
Doctoral Dissertations
Machines today lack the inherent ability to reason and make decisions, or operate in the presence of uncertainty. Machine-learning methods such as Bayesian Networks (BNs) are widely acknowledged for their ability to uncover relationships and generate causal models for complex interactions. However, their massive computational requirement, when implemented on conventional computers, hinders their usefulness in many critical problem areas e.g., genetic basis of diseases, macro finance, text classification, environment monitoring, etc. We propose a new non-von Neumann technology framework purposefully architected across all layers for solving these problems efficiently through physical equivalence, enabled by emerging nanotechnology. The architecture builds …
Architecting Np-Dynamic Skybridge, Jiajun Shi
Architecting Np-Dynamic Skybridge, Jiajun Shi
Masters Theses
With the scaling of technology nodes, modern CMOS integrated circuits face severe fundamental challenges that stem from device scaling limitations, interconnection bottlenecks and increasing manufacturing complexities. These challenges drive researchers to look for revolutionary technologies beyond the end of CMOS roadmap. Towards this end, a new nanoscale 3-D computing fabric for future integrated circuits, Skybridge, has been proposed [1]. In this new fabric, core aspects from device to circuit style, connectivity, thermal management and manufacturing pathway are co-architected in a 3-D fabric-centric manner.
However, the Skybridge fabric uses only n-type transistors in a dynamic circuit style for logic and memory …
Nanotechnology Overview Powerpoint, Mark Tuominen
Nanotechnology Overview Powerpoint, Mark Tuominen
Nanotechnology Teacher Summer Institutes
Nanotechnology is the understanding and control of matter at dimensions of roughly 1 to 100 nanometers, where unique phenomena enable novel applications. This PowerPoint gives an overview of the field and introduces the teacher summer institute.