Results 141 to 150 of about 1,457,631 (249)

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

Binocular vision with null disparity disrupts the effects of extra-retinal signals

open access: yes, 2009
We studied a novel phenomenon indicating that the integration of extra-retinal information and the optic flow is a necessary but not sufficient condition for slant constancy during active head motion; congruency between monocular and binocular cues to ...
FANTONI, CARLO, Caudek C., Domini F
core   +1 more source

MGFR-ViT: A Multi-Scale Gated Feature Refinement Vision Transformer for Vibration-Based Fault Diagnosis

open access: yesSensors
To address the limited extraction of local fault features, ineffective fusion of multi-scale fault information and interference from redundant noise in vibration-based fault diagnosis of rolling bearings and gears under complex operating conditions, a ...
Yan Yan   +6 more
doaj   +1 more source

Computation‐Less, Bias‐Free, and Ultra‐Broadband Photodetector for On‐Chip Edge Extraction

open access: yesAdvanced Materials, EarlyView.
A computation‐less, bias‐free, and ultra‐broadband photodetector directly converts local optical‐intensity gradients into signed photocurrents through a position‐dependent bi‐directional photoresponse. This intrinsic physical sensing mechanism enables single‐pixel edge extraction from the near‐infrared to the long‐wave infrared at room temperature ...
Jintao Fu   +8 more
wiley   +1 more source

The cost of backpropagation in transformer network [PDF]

open access: yes
openThis thesis studies the training cost of transformer networks by analyzing the number of arithmetic operations required during backpropagation. Focusing on the original transformer block in a simplified, single-headed version, we break down the time ...
BARBATO, ALBERTO
core  

Exploring Vision Transformers and Convolution Neural Networks for the Thermal Image Classification of Volcanic Activity

open access: yesApplied Sciences
This paper addresses the classification of images depicting the eruptive activity of Mount Etna that were captured by a network of ground-based thermal cameras.
Giuseppe Nunnari, Sonia Calvari
doaj   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

open access: yesAdvanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan   +6 more
wiley   +1 more source

Design and Development of Transformer Diagnostic System Application to Predict Purification Time and Transformer Life Based on Machine Learning

open access: yes
Transformers are equipment in high voltage engineering that often experience abnormalities originating from internal or external sources. This abnormality causes disturbances, so it is necessary to diagnose faults on the transformer as early as possible ...
Putra, Andre Yuanda
core  

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
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

Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald   +3 more
wiley   +1 more source

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