Search Results for "Cmos Memristor"

17:58 EDT 4th August 2015 | BioPortfolio

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Status of the CMOS Image Sensor Industry Report 2015-2020 - CMOS Image Sensor market will reach US$16B

Dublin, Feb. 25, 2015 (GLOBE NEWSWIRE) -- Research and Markets ( has announced the addition of the "Status of the CMOS...

Gilead's reliance on CMOs gives firm 'flexibility' says CFO

Reliance on CMOs and CROs has allowed the flexibility to make Gilead a top 10 pharma firm, and the use of third-parties will remain part of its strategy according to the CFO.

CMOs and the Track-and-Trace Race: Are You Engaged Yet?

Increasing concerns are being expressed by industry observers and top-tier pharmaceutical manufacturers that contract manufacturing organizations (CMOs) will not be ready to comply with emerging track...

Enteris plans to beat established API CMOs on lead times

Enteris Biopharma says it can compete with established API CMOs by offering shorter lead times and greater flexibility.

A Cost Measurement Pharma Can Live With (CROs/CMOs, Too)

Sometimes one finds help in unusual places.This might be one of those times for Pharma, and the place could be AdverseEvents. And Pharma can turn to a more usual partner—CROs/CMOs—to posit...

Six Tips for Leveraging Values, Ethics and Compliance in Successful Drug Development

Ed Price | PCI Synthesis CMOs play several valuable roles for emerging pharma companies: manufacturer, sounding board, safety net, among others. Battle-tested, with skills honed through years of ...

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex, with its approximately 1014 synapses, makes the hardware implementation of ne...

New memristor technology could bring us closer to brain-like computing

SOURCE April 8, 2015 (Nanowerk News) Researchers are always searching for improved technologies, but the most efficient computer possible already exists. It can learn and adapt without needing to be p...

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Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training.

Learning in multilayer neural networks (MNNs) relies on continuous updating of large matrices of synaptic weights by local rules. Such locality can be exploited for massive parallelism when implementi...

Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity.

Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dyn...

Memristor Models for Machine Learning.

In the quest for alternatives to traditional complementary metal-oxide-semiconductor, it is being suggested that digital computing efficiency and power can be improved by matching the precision to the...

Quasi-Linear Vacancy Dynamics Modeling and Circuit Analysis of the Bipolar Memristor.

The quasi-linear transport equation is investigated for modeling the bipolar memory resistor. The solution accommodates vacancy and circuit level perspectives on memristance. For the first time in lit...

Finite-time synchronization control of a class of memristor-based recurrent neural networks.

This paper presents a global and local finite-time synchronization control law for memristor neural networks. By utilizing the drive-response concept, differential inclusions theory, and Lyapunov func...

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