Results 121 to 130 of about 20,066 (272)

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Efficient Majority Logic Parallel-Prefix Adder Design

IEEE Access
Emerging beyond CMOS technologies such as quantum-dot cellular automata (QCA), resistive RAM crossbars, spin-torque devices, and single-electron transistors implement only the three-input majority gate (MG) and the inverter as primitive operations ...
Constantinos Efstathiou, Ioannis Kouretas, Paris Kitsos, George Theodoridis   +3 more
doaj   +1 more source

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

Advanced Intelligent Systems, EarlyView.
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

A review on selective in-memory computing processors: Potential alternative to AI-driven applications

Results in Engineering
In-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for
Mohith V, Sakthivel R
doaj   +1 more source

Experimental Study on Frost Resistance of Rammed Earth Building Materials

Chemical Engineering Transactions, 2018
To study the freezing resistance of rammed earth building materials. Different areas of rammed earth are selected and rammed earth samples are prepared according to relevant provisions of China referring to the relevant literature. Some maintenance measures are taken after the sample preparation to prevent deterioration of rammed earth samples ...
openaire   +2 more sources

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

Advanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang, Hyeok Yun, Kyeongrae Cho, Seungjoon Eom, Soomin Kim, Seongsoo Jeong, Rockhyun Baek   +6 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Synthesis and Characterization of Ag–Fe Bimetallic Nanoparticles and Nanocomposites (Alloys and Core–Shells) for Photocatalytic Degradation of Bromophenol Blue Dye Using Grewia optiva Leaf Extract

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Ag–Fe bimetallic nanoparticles (alloy and core–shell structures) were synthesized using Grewia optiva leaf extract through a green, phytochemical‐mediated approach. The effects of pH, temperature, extract concentration, and Ag:Fe molar ratio on nanoparticle formation were systematically optimized, enabling size‐controlled and morphologically ...
Sehrish Asad, Waheed Murad, Natasha Anwar, Khushbakht Asad, Muhammad Salman Khan, Shohreh Azizi, Malik Maaza   +6 more
wiley   +1 more source

Helmeted hornbill cranial kinesis: Balancing mobility and stability in a high‐impact joint

The Anatomical Record, EarlyView.
Abstract Prokinesis—in which a craniofacial joint allows the rostrum to move relative to the braincase—is thought to confer diverse advantages in birds, mostly for feeding. A craniofacial joint would, however, be a weak link if cranial stability is important. Paradoxically, we have identified a craniofacial joint in helmeted hornbills (Rhinoplax vigil),
Mike Schindler, Benjamin Flaum, Armita Razieh Manafzadeh, Viktoriia Kamska, Kanmani Chandra Rajan, Maria Jose Robles Malagamba, Ruien Hu, Daniel Baum, Mason N. Dean   +8 more
wiley   +1 more source