Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

Trend · papers per month

0111 · Jan 201619922001200920182026
8 results for memristors

Efficiently implements large-scale CNNs using memristors.

problem Implementing high-dimensional convolution in deep neural networks efficiently.
method Developed a method to convert CNN kernels to memristor-based circuits, optimized for accuracy and minimized error.
result 8-bit ADC/DAC is necessary to preserve software level classification accuracy in memristor-based CNNs.

Current-mode memristor crossbars enable neuromemristive systems with similar accuracy but different weight distributions.

problem Implementing weight matrices in neuromemristive systems via current-mode memristor crossbars.
method Derived theoretical results for weight range and distribution, developed a modified gradient descent rule for current-mode design, and performed behavioral simulations.
result Current-mode and voltage-mode designs achieve similar accuracy but use different feature representations.

DNPUs improve neural network performance with high-capacity nanoelectronic nodes.

problem Limited performance of single DNPUs in solving complex classification problems.
method Developed DNPUs as high-capacity neurons and implemented multi-DNPU networks.
result Feed-forward DNPU networks improve single DNPU performance from 77% to 94% test accuracy.

Neuromemristive systems (NMSs) currently represent the most promising platform to achieve energy efficient neuro-inspired computation. However, since the research field is less than a decade old, there are still countless algorithms and design paradigms to be explored within these systems. One particular domain that re…

2016-01-27abs ↗pdf ↗

A new hierarchy quantifies agency in systems based on information processing.

problem Lack of a measurable, universal definition for agency in intelligent systems.
method Developed a bottom-up framework based on information processing hierarchy.
result Identified three orders of information processing (I, II, III) as necessary for agency.