Results 131 to 140 of about 1,758,697 (309)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory

Majlesi Journal of Electrical Engineering
Short-term electrical load forecasting plays a pivotal role in modern energy systems, addressing the need for accurate predictions of electricity demand within a time frame ranging from a few hours to a few days. Inaccurate predictions can lead not only
Somasundaram Vasudevan, Kandasamy Jothinathan   +1 more
doaj   +1 more source

Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors

Advanced Functional Materials, EarlyView.
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi, Tianyue Wang, Dapeng Liu, Jiupeng Cao, Jing Zhuang, Zeyu Zhao, Yang Xu, Mitch Guijun Li, Liang Li, Tianyou Zhai, Feng Yan   +10 more
wiley   +1 more source

Comparing Normal and Multiple Sclerotic Patients Short Term Memory

Journal of Rehabilitation, 2006
Objective: Multiple sclerosis (MS) is a disease of the central nervous system. The main pattern of neuropsychological impairment in M.S. patients characterized with deficits of attention and memory.
Mahboubeh Parsaeian, Abdolrahman Najl-Rahim, Masoud Karimlou, Mohammad Mozaffari   +3 more
doaj  

Decay and interference effects in visuospatial short-term memory [PDF]

, 1996
No description ...
Hole, Graham J
core  

Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors

Advanced Functional Materials, EarlyView.
Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang, Yaoqiang Zhou, Sonja Wieland, Yachen Li, Ni Zhao, Jana Zaumseil   +5 more
wiley   +1 more source

Hardware-based Heterogeneous Memory Management for Large Language Model Inference [PDF]

arXiv
A large language model (LLM) is one of the most important emerging machine learning applications nowadays. However, due to its huge model size and runtime increase of the memory footprint, LLM inferences suffer from the lack of memory capacity in conventional systems consisting of multiple GPUs with a modest amount of high bandwidth memory.
arxiv  

Multielement Filament Memristor Enabling Multifunctional Neuromorphic Device

Advanced Functional Materials, EarlyView.
A new type of memristor featuring a hybrid mechanism and multifunctional applications is introduced. The proposed single device combines the alloy metal filament with the oxygen vacancy filament to achieve both resistive and threshold switching with enhanced reliability, mimicking both biological synapses and nociceptors. This study shows that filament‐
Mingu Jang, Hanchan Song, Hae Jin Kim, Jung Ho Yoon, Kyung Min Kim   +4 more
wiley   +1 more source

RETRIEVAL PROCESS IN FREE RECALL CREATES ERRORS IN SHORT TERM MEMORY BUT NOT IN LONG TERM MEMORY

RUDN Journal of Psychology and Pedagogics, 2015
An analysis of free recall errors shows that the free recall retrieval process in short term memory is accompanied by a linear rise in errors, without discontinuities, invalidating short term memory models in which stores or states are sequentially ...
Eugen Tarnow
doaj  

Chronic Toxoplasma gondii infection is associated with decreased working memory performance in women

Estudos de Psicologia (Campinas)
Objective The present study sought to investigate changes in mood, inhibitory control, and working memory associated with T. gondii infection in a sample of Brazilian women.
Laiany Nayara Barros Gonçalves, Italo Ramon Rodrigues Menezes, Jennifer Lee Palmer, Ivani Brys   +3 more
doaj   +1 more source

Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, EarlyView.
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti, Davide Pilati, Gianluca Milano, Carlo Ricciardi   +3 more
wiley   +1 more source