Results 91 to 100 of about 13,872 (307)

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

RATEX: A Scalable RNA‐Based Platform for Logical and Multi‐Layered Cellular Programming

Angewandte Chemie, EarlyView.
RATEX integrated ribosome‐mediated transcription control with synthetic RNA regulators, enabling simultaneous processing of RNA, metabolite, and small‐molecule inputs through complex logic operations within a single transcript. The platform achieves up to 1,492‐fold gene regulation, multi‐input hybrid logic gates, RNA‐programmed signaling cascades, and
Hyunseop Goh, Hansol Kang, Chaeri Kim, Jongmin Kim   +3 more
wiley   +2 more sources

Initialization-Free Programmable Spin-Logic Gate in a Single Spin-Orbit Torque Device

Engineering
In-memory computing (IMC) based on spin-logic devices is regarded as an advantageous way to optimize the Von Neumann bottleneck. However, performing complete Boolean logic with spintronic devices typically requires an initialization operation, which can ...
Jie Lin, Shuai Zhang, Shihao Li, Yan Xu, Xin Li, Wei Duan, Jincheng Hou, Chenxi Zhou, Wei Zhan, Zhe Guo, Min Song, Xiaofei Yang, Yufeng Tian, Xuecheng Zou, Dan Feng, Long You   +15 more
doaj   +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

Dual-Mode 2T1C DRAM Process-In-Memory Architecture for Boolean and MAC Operations

IEEE Access
With the increasing demand for intelligent memory, the conventional memory system is more and more equipped with computational logic to support simple arithmetic and Boolean operations required by many real-world applications.
Yerim An, Honggu Kim, Dongjun Son, Hakrae Yu, Yong Shim   +4 more
doaj   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

Linear cryptanalysis of pseudorandom functions [PDF]

, 2015
Relatório de projeto de pesquisa.In this paper, we study linear relations propagating across block ciphers from the key input to the ciphertext (for a fixed plaintext block).
Freitas, Daniel Santana de, Santana de Freitas, Daniel, Markowitch, Olivier, Nakahara, Jorge, Nakahara Jr, Jorge   +4 more
core  

Single identities forcing lattices to be Boolean

, 2018
In this note we characterize Boolean algebras among lattices of type (2, 2, 1) with join, meet and an additional unary operation by means of single two-variable respectively three-variable identities.
Länger, Helmut, Chajda, Ivan, Padmanabhan, Ranganathan   +2 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source