Results 171 to 180 of about 470 (199)
Abstract Neuromorphic devices with learning and memory functions are critical for enabling human‐like tactile perception and interactive control in humanoid robots. However, existing neuromorphic platforms often struggle to reconcile mechanical flexibility with energy efficiency due to material and mechanism constraints.
Xinyu Li +10 more
wiley +1 more source
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu +5 more
wiley +1 more source
Van der Waals ferroelectric semiconductor tunnel junction with ultra‐low switching voltage
Ferroelectric tunnel junctions are promising building blocks for energy‐efficient memory and brain‐inspired computing, but their practical use is limited by the relatively high voltages required for operation. Here, we develop an all‐two‐dimensional ferroelectric tunnel junction based on AgBiP2Se6 that enables reliable memory operation below 0.2 V and ...
Fuqin Sun +17 more
wiley +1 more source
Drive‐Efficient GHz‐Rate Binary‐State Updates Enabled by VCSEL Polarization Switching
Photonic computing needs a compact node that can hold a binary state and update it fast. A vertical‐cavity surface‐emitting laser biased at its polarization‐switching point could serve as one: its two orthogonal linear polarizations are the two states, and a small electrical drive is enough to move the output from one state to the other at gigahertz ...
Zifeng Yuan +6 more
wiley +1 more source
A Scalable Platform for Massively Parallel Superconducting Single‐Photon Detection
One hundred independent superconducting nanowire detectors, each with efficiency up to 80.1–98.3%, are integrated into a single compact system operating below 2.1 K. This parallel architecture supports fully connected multi‐user quantum entanglement distribution, while its scalability opens new avenues in optical quantum computing, QKD networks ...
You Xiao +14 more
wiley +1 more source
Programmable Temporal Dynamics in a Laser Neuron for High‐Speed Photonic Reservoir Computing
Memory and nonlinearity play crucial roles in reservoir computing (RC). An adaptive photonic RC system is demonstrated based on a high‐speed laser graded neuron, whose dynamics, encompassing memory and nonlinearity, can be flexibly programmed through a straightforward bias‐tuning approach.
Yikun Nie +5 more
wiley +1 more source
ABSTRACT Identification of a chemical agent yields insights into its physicochemical properties. By examining the intrinsic characteristics and environment of a compound, information about its history can be gathered. The main objective of authentication/forensic approaches to chemicals is to trace the history of the compound's origin, regardless of ...
Carla Orlandi +6 more
wiley +1 more source
Abstract Background The Huntington's Disease Integrated Staging System (HD‐ISS) provides a framework for staging HD but does not incorporate fluid biomarkers. Objective The aim of this study was to examine neurofilament light chain (NfL) and mutant huntingtin (mHTT) and total tau across HD‐ISS stages and their associations with genetic burden ...
Jesús Pérez‐Pérez +104 more
wiley +1 more source
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Novel Approach to the Analysis and Synthesis of Modulation Processes in Power Convertors
Proceedings of the Institution of Electrical Engineers, 1975B M Bird, S R Bowes
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