Results 61 to 70 of about 33,927 (254)

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Fast Object Tracking on a Many-Core Neural Network Chip

open access: yesFrontiers in Neuroscience, 2018
Fast object tracking on embedded devices is of great importance for applications such as autonomous driving, unmanned aerial vehicle, and intelligent monitoring. Whereas, most of previous general solutions failed to reach this goal due to the facts that (
Lei Deng   +10 more
doaj   +1 more source

Mapping invariance in the ventral occipital temporal pathway [PDF]

open access: yes, 2012
This thesis is concerned with the organisation of the human ventral occipital temporal pathway, part of the brain involved in the recognition of objects and processing of scenes.
Racey, Chris
core  

3D Printing Innovations in Polymeric Porous and Patterned Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil   +13 more
wiley   +1 more source

Structural Plasticity in Neuronal Networks [PDF]

open access: yes, 2007
Neuronal networks are established during development by the formation of connections (synapses) between neurons. Once formed, these synapses undergo experience-dependent modifications throughout the lifespan of the animal (synaptic plasticity ...
Mysore, Shreesh Pranesh
core   +1 more source

Chiral Phase Change Nanomaterials

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow   +11 more
wiley   +1 more source

Improving Tire Pattern Recognition Using Parameter-Efficient Fine-Tuning Techniques

open access: yesIEEE Access
Tire-tread classification plays a key role in forensic investigation and public safety. This work introduces a robust, efficient recognition system that integrates Discrete Wavelet Transform (DWT) with Weighted Local Gray-Level on Robust Local Binary ...
Parkpoom Chaisiriprasert   +1 more
doaj   +1 more source

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

open access: yesAdvanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son   +5 more
wiley   +1 more source

Latent learning drives sleep-dependent plasticity in distinct CA1 subpopulations

open access: yesCell Reports
Summary: Latent learning is a process that enables the brain to transform experiences into “cognitive maps,” a form of implicit memory, without requiring reinforced training.
Wei Guo   +3 more
doaj   +1 more source

A one-dimensional model for superelastic shape-memory alloys with different elastic properties between austenite and martensite

open access: yes, 1997
The present work addresses a one-dimensional model able to reproduce the shape-memory-alloy superelastic behavior, taking into account the different elastic properties between austenite and martensite.
SACCO E.   +2 more
core   +1 more source

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