Results 71 to 80 of about 4,143,341 (351)
A Novel Approach to Implementing Artificial Thalamic Neurons with Ferroelectric Transistors
Advanced Functional Materials, EarlyView.Artificial neurons created using CMOS technology often require a large number of transistors and capacitors. This study introduces an artificial thalamic neuron that employs only five CMOS compatible ferroelectric transistors. The manufactured thalamic neuron demonstrates leaky integrate‐and‐fire‐or‐burst (LIFB) functionalities, featuring self ...
Andreas Grenmyr +7 more
wiley +1 more source
Novel hardware and concepts for unconventional computing [PDF]
Scientific Reports, 2020 Neuromorphic systems are currently experiencing a rapid upswing due to the fact that today's CMOS (complementary metal oxide silicon) based technologies are increasingly approaching their limits. In particular, for the area of machine learning, energy consumption of today's electronics is an important limitation, that also contributes toward the ever ...
openaire +4 more sources
Computational sprinting on a hardware/software testbed [PDF]
ACM SIGARCH Computer Architecture News, 2013 CMOS scaling trends have led to an inflection point where thermal constraints (especially in mobile devices that employ only passive cooling) preclude sustained operation of all transistors on a chip --- a phenomenon called "dark silicon." Recent research proposed computational sprinting --- exceeding sustainable thermal limits for short intervals ...
Laurel Emurian +6 more
openaire +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Dynamic testing of docking system hardware [PDF]
, 1972 Extensive dynamic testing was conducted to verify the flight readiness of the Apollo docking hardware. Testing was performed on a unique six degree-of-freedom motion simulator controlled by a computer that calculated the associated spacecraft motions ...
Dorland, W. D.
core +1 more source
Advanced Functional Materials, EarlyView.Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du +11 more
wiley +1 more source
مجله انفورماتیک سلامت و زیست پزشکی, 2019 Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides ...
Zahra Ghanbari +3 more
doaj
Design and Implementation of Computer Hardware Monitoring System Based on Cloud Computing
MATEC Web of Conferences, 2016 From the perspective of customer service and on the basis of network, this paper proposes a computer hardware monitoring system based on cloud platform, which separates the data acquisition, storage, and analysis based on cloud computing hardware ...
Liu Ming, Guo Ping
doaj +1 more source
Iridium Oxide Inverse Opal Anodes with Tailored Porosity for Efficient PEM Electrolysis
Advanced Functional Materials, EarlyView.The synthesis of Iridium‐based Inverse Opals (Ir‐IO) is reported as electrocatalyst for Proton exchange membrane water electrolysis (PEM‐WE). Using the developed protocol it produces highly porous materials consisting either of metallic, oxidic Iridium or a combination thereof with large surface areas.
Sebastian Möhle +2 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source