Emerging Technologies

All posts under tag "Emerging Technologies"

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Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices

Automated in-vitro cell detection and counting have been a key theme for artificial and intelligent biological analysis such as biopsy, drug analysis and decease diagnosis. Along with the rapid development of microfluidics and lab-on-chip technologies, in-vitro live cell analysis has been one of the

February 23, 2026

Computer Vision Computer Science Emerging Technologies Systems and Control Machine Learning Learning Detection Artificial Intelligence

A/D Converter Architectures for Energy-Efficient Vision Processor

AI applications have emerged in current world. Among AI applications, computer-vision (CV) related applications have attracted high interest. Hardware implementation of CV processors necessitates a high performance but low-power image detector. The key to energy-efficiency work lies in analog-digita

February 23, 2026

Computer Science Emerging Technologies

Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator

In this letter, we quantify the impact of device limitations on the classification accuracy of an artificial neural network, where the synaptic weights are implemented in a Ferroelectric FET (FeFET) based in-memory processing architecture. We explore a design-space consisting of the resolution of th

February 23, 2026

Neural Computing Computer Science Emerging Technologies Electrical Engineering and Systems Science

An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)

An analog neural network computing engine based on CMOS-compatible charge-trap transistor (CTT) is proposed in this paper. CTT devices are used as analog multipliers. Compared to digital multipliers, CTT-based analog multiplier shows significant area and power reduction. The proposed computing engin

February 23, 2026

Computer Science Emerging Technologies Machine Learning Network Hardware Architecture

Capacitorless Model of a VO2 Oscillator

We implement a capacitorless model of a VO2 oscillator by introducing into the circuit of a field-effect transistor and a VO2 thermal sensor, which provide negative current feedback with a time delay. We compare the dynamics of current and voltage oscillations on a switch in a circuit with a capacit

February 23, 2026

Model Computer Science Emerging Technologies

Cost Modeling and Projection for Stacked Nanowire Fabric

To continue scaling beyond 2-D CMOS with 3-D integration, any new 3-D IC technology has to be comparable or better than 2-D CMOS in terms of scalability, enhanced functionality, density, power, performance, cost, and reliability. Transistor-level 3-D integration carries the most potential in this re

February 23, 2026

Hardware Architecture Computer Science Model Emerging Technologies

Macro-molecular data storage with petabyte/cm^3 density, highly parallel read/write operations, and genuine 3D storage capability

Digital information can be encoded in the building-block sequence of macro-molecules, such as RNA and single-stranded DNA. Methods of 'writing' and 'reading' macromolecular strands are currently available, but they are slow and expensive. In an ideal molecular data storage system, routine operations

February 23, 2026

Computer Science Data Emerging Technologies Physics

Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse

Asymmetric nonlinear weight update is considered as one of the major obstacles for realizing hardware neural networks based on analog resistive synapses because it significantly compromises the online training capability. This paper provides new solutions to this critical issue through co-optimizati

February 23, 2026

Computer Science Emerging Technologies Machine Learning Network Neural Computing

Thermally induced error: density limit for magnetic data storage

Magnetic data storage is pervasive in the preservation of digital information and the rapid pace of computer development requires ever more capacity. Increasing the storage density for magnetic hard disk drives requires a reduced bit size, previously thought to be limited by the thermal stability of

February 23, 2026

Computer Science Data Emerging Technologies Condensed Matter Physics

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Emerging Technologies

Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices

A/D Converter Architectures for Energy-Efficient Vision Processor

Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator

An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)

Capacitorless Model of a VO2 Oscillator

Cost Modeling and Projection for Stacked Nanowire Fabric

Macro-molecular data storage with petabyte/cm^3 density, highly parallel read/write operations, and genuine 3D storage capability

Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse

Thermally induced error: density limit for magnetic data storage

< Category Statistics (Total: 5003) >

Table of Contents

Table of Contents

Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices

A/D Converter Architectures for Energy-Efficient Vision Processor

Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator

An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)

Capacitorless Model of a VO2 Oscillator

Cost Modeling and Projection for Stacked Nanowire Fabric

Macro-molecular data storage with petabyte/cm^3 density, highly parallel read/write operations, and genuine 3D storage capability

Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse

Thermally induced error: density limit for magnetic data storage

< Category Statistics (Total: 5003) >

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