Results 121 to 130 of about 14,142 (285)
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Applications of Neuromorphic Computing
Neuromorphic computing refers to a form of processing that mirrors the structure and functionality of the human brain. Several potential future applications of neuromorphic computing are outlined in this work.
Jayaraman, Meghana
core
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
Understanding Interfacial Photoswitching Mechanisms in Atomically‐Thin TMD‐Spiropyran Hybrids
Photochromic molecules can effectively modulate the optoelectronic properties of atomically thin transition metal dichalcogenide semiconductors. Spiropyran that switches its chemical configuration upon alternating UV and visible irradiation enables light‐programmable optoelectronic devices.
Sewon Park +8 more
wiley +1 more source
ABSTRACT Photonic integrated circuits (PICs) can deliver unparalleled performance for future neuromorphic computing applications. Such neuromorphic PICs require a large number of tunable switches, which are typically realized with current‐controlled heaters, resulting in considerable energy consumption.
Jens Samland +10 more
wiley +1 more source
Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses
The conventional von Neumann architecture is increasingly losing the capacity to satisfy the urgent demand for high‐speed parallel computing, energy efficiency, and ultralow power consumption owing to the rapid growth of information.
Xiaoqin Yang +11 more
doaj +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
2D Materials Powering Neuromorphic Intelligence
Highlights Two-dimensional materials enable energy-efficient neuromorphic computing through gate tuneable bandgaps, fast switching kinetics, and compatibility with spiking neural networks for adaptive learning.
Jamal Kazmi +9 more
doaj +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source

