Results 161 to 170 of about 12,703,457 (252)

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Network topology creates independent control of multiple checkpoints in the cell cycle system. [PDF]

Proc Natl Acad Sci U S A
Yamauchi Y, Sugiyama H, Goto Y, Aoki K, Mochizuki A.   +4 more
europepmc   +1 more source

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

Multi-adaptive event-triggered consensus of positive multi-agent systems using pinning strategy. [PDF]

PLoS One
Li Q, Dong L, Yang H.
europepmc   +1 more source

Elements of Mathematics - General Topology, by Nicolas Bourbaki. Hermann, Paris, and Addison-Wesley, Reading, 1967. Part 1, vii + 438 pages. $18.50. Part 2, iv + 368 pages. $18.50. [PDF]

Canadian Mathematical Bulletin, 1968
openaire   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Structural identifiability in crystalline molecular networks using strong metric dimension. [PDF]

Sci Rep
Imran M, Salman M, Tahoor T, Ali F, Hasni R.   +4 more
europepmc   +1 more source

Neural-driven dynamic key generation: A deep reinforcement learning and topological mathematics based framework for secure file sharing

Results in Control and Optimization
R. Kavin Kumar, K. Supriya, A. Swetha Priya, Kamatchi S., Jitendra Bahadur, Dong-Won Kang   +5 more
openaire   +1 more source

Mathematical foundations of the general ordered S-matrix and its topological expansion. [Higher-order corrections, indices, unitarity, graphs] [PDF]

, 1978
openaire   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source