Results 81 to 90 of about 13,642,405 (235)
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Algorithm-Hardware Co-design for Ultra-Low-Power Machine Learning and Neuromorphic Computing
The rapid proliferation of the Internet of Things (IoT) devices and the growing demand for intelligent systems have driven the development of low-power, compact, and efficient machine learning solutions. Deep neural networks (DNNs) have become state-of-the-art algorithms in various applications, such as face recognition, object detection, and speech ...
openaire +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Preparation of MXene-based hybrids and their application in neuromorphic devices
The traditional von Neumann computing architecture has relatively-low information processing speed and high power consumption, making it difficult to meet the computing needs of artificial intelligence (AI). Neuromorphic computing systems, with massively
Zhuohao Xiao +10 more
doaj +1 more source
Neuromorphic Hardware Systems for Ultra-Low-Power Computing
Neuromorphic computing represents a paradigm shift in computational architecture, offering unprecedented energy efficiency through brain-inspired hardware implementations. This paper provides a comprehensive analysis of neuromorphic hardware systems designed for ultra-low-power computing applications.
openaire +2 more sources
Ion‐Reconfigurable “N”‐Shaped Antiambipolar Behavior in Organic Electrochemical Transistors
A unique N‐shaped negative differential transconductance (NDT) characteristics is demonstrated in single‐polymer organic electrochemical transistors through a sequential doping–redox–doping process driven by iodide ions. This redox‐driven mechanism enables low‐voltage, ion‐controlled reconfigurability and tunable current modulation, allowing seamless ...
Debdatta Panigrahi +11 more
wiley +1 more source
Neuromorphic computing for attitude estimation onboard quadrotors
Compelling evidence has been given for the high energy efficiency and update rates of neuromorphic processors, with performance beyond what standard Von Neumann architectures can achieve. Such promising features could be advantageous in critical embedded
Dupeyroux, J.J.G. (author) +5 more
core +2 more sources
Vertical organic electrochemical transistors (vOECTs) are limited in speed by ion‐impermeable metal electrodes that slow ion injection. Using ion‐permeable PBFDO top electrodes allows direct vertical ion injection into BBL channels, achieving high current densities (>400 A cm−2), large on/off ratios (>106), and ultrafast switching in 28 µs. This sets a
Han‐Yan Wu +14 more
wiley +1 more source
Extremely low-power consumption nano-RTD photodetectors for future neuromorphic computing [PDF]
This paper describes the fabrication of\ud nanometre-sized resonant tunnelling diode (RTD)\ud photodetector devices which may be used as excitable\ud neuromorphic spike generators. Submicron diameter\ud devices have been fabricated and exhibit peak\ud currents under 250 A, peak and valley voltages of\ud around 0.6 V and 0.8 V and a peak to valley ...
Al-Taai, Qusay Raghib Al +5 more
openaire
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source

