Results 101 to 110 of about 136,387 (282)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
High-Level Models for Transformation-Oriented Design of Hardware and Embedded Systems
Advances in Electrical and Computer Engineering, 2008 Evolution of design methodologies follows a common trail: technology scaling leads to growing design complexity and rising abstraction level in the domain.
DAMASEVICIUS, R., STUIKYS, V.
doaj +1 more source
Malicious Code Detection Method Based on Hybrid Quantum Convolutional Neural Network [PDF]
Jisuanji kexueQuantum computing is a new computing model based on quantum mechanics,with powerful parallel computing capabi-lity far beyond classical computing.Hybrid quantum convolutional neural network combines the dual advantages of quantum computing and classical ...
XIONG Qibing, MIAO Qiguang, YANG Tian, YUAN Benzheng, FEI Yangyang
doaj +1 more source
, 2017 Coarse-Grained Reconfigurable Arrays (CGRAs) enable ease of programmability and result in low development costs. They enable the ease of use specifically in reconfigurable computing applications.
Fricke, Florian +4 more
core
Nucleation Kinetics Reveals a Distinct Biological Function Space of Biomolecular Condensates
Advanced Science, EarlyView.This study utilizes microfluidics to quantify the nucleation rates of dense liquid phases within dilute solutions and of the reverse process, in which dilute voids nucleate inside condensates. The interfacial tension is identified as the key determinant of both processes.
Leif‐Thore Deck +5 more
wiley +1 more source
Practical Access to Dynamic Programming on Tree Decompositions
Algorithms, 2019 Parameterized complexity theory has led to a wide range of algorithmic breakthroughs within the last few decades, but the practicability of these methods for real-world problems is still not well understood.
Max Bannach, Sebastian Berndt
doaj +1 more source
Photonuclear Population of 229m,gTh in Th‐Doped Crystals Toward Nuclear Clock Development
Advanced Science, EarlyView.This study demonstrates a novel photonuclear approach for producing the nuclear clock isomer 229mTh in thorium‐doped crystals, overcoming current supply limitations. Through cross‐section calculations and Monte Carlo simulations, we identify optimal crystal materials and irradiation conditions, achieving high signal‐to‐noise ratios.
Hao‐Yang Lan +9 more
wiley +1 more source
EmbodiedCoder: Parameterized Embodied Mobile Manipulation via Modern Coding Model
Demo Page: https://embodiedcoder.github.io/EmbodiedCoder/
Lin, Zefu +10 more
openaire +2 more sources
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
Advanced Science, EarlyView.In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Characterizing quantum codes via the coefficients in Knill-Laflamme conditions
npj Quantum InformationQuantum error correction (QEC) is essential for protecting quantum information against noise, yet understanding the structure of the Knill-Laflamme (KL) coefficients $$\left\{{\lambda }_{ij}\right\}$$ λ i j from the condition $$P{E}_{i}^{\dagger }{E}_{j ...
Mengxin Du +3 more
doaj +1 more source