Results 121 to 130 of about 244,153 (287)

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Electrical characterization of HfO₂ based resistive RAM devices having different bottom electrode metallizations

, 2018
HfO 2 based resistive RAM devices as the important candidates of future embedded non-volatile memory technology were investigated using state of art physical and electrical characterization methods. Memory stacks used for measurements, named MARS, having
Tekin, Serdar B.
core   +3 more sources

Mechanophotochemistry: Lighting up EDA Complexes in the Solid State

Angewandte Chemie, EarlyView.
Examples of mechanophotochemical EDA complex‐mediated radical reactions, including a Giese reaction, a C─S cross‐coupling reaction, a phosphorylation reaction, and a sulfonylation reaction are shown to rapidly proceed in air using visible light excitation.
Aniket Kumar Srivastawa, Eli Zysman‐Colman   +1 more
wiley   +2 more sources

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Neural ODE-Based Modeling of Memristive Devices

IEEE Access
The development of modern memristive technologies requires accurate dynamic models to enable reliable simulation and prototyping in applications such as resistive RAM, neural networks, and neuromorphic computing.
Karol Bednarz, Bartlomiej Garda, Zbigniew Galias   +2 more
doaj   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

Selective Cell‐Repellent 3D Scaffold Platform for Proton Radiobiology

Advanced NanoBiomed Research, EarlyView.
A selective cell‐repellent 3D scaffold platform is developed to minimize unwanted 2D cell populations surrounding engineered cell microenvironments. The approach is based on the combination of Lipidure coatings with two‐photon polymerized scaffolds and enables specific characterization of glioblastoma cells’ response to proton irradiation.
Novinda S. Pertiwi, Qais Akolawala, Rob van den Akker, Anggraeini Puspitasari‐Kokko, Henri H. Versteeg, Araci M. R. Rondon, Angelo Accardo   +6 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

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