Results 121 to 130 of about 11,177,407 (275)
An STI‐guided metagenomic association framework links soybean salt‐tolerance phenotypes with rhizosphere microbiome composition and network organization in natural saline soils. The approach identifies candidate beneficial taxa, including Thalassospira xiamenensis, and provides an efficient strategy for mining stress‐protective microbes from native ...
Yu Luo +3 more
wiley +1 more source
Zero-shot cell classification for digital pathology image analysis
Developing effective deep learning methods for digital pathology image analysis remains a challenging task due to the scarcity of large annotated datasets in the medical domain.
Davins Jovells, Manel
core +1 more source
Domain-Adaptive Zero-Shot Image Classification via CLIP and Large Language Models
An adaptive prototype learning mechanism, which learns to improve class prototypes via exponential moving average updates, a domain-aware prompt designing technique utilizing LLM-produced contextual descriptions attuned to each distinct visual domain ...
Pandi Siddartha +4 more
doaj +1 more source
Zero-Shot Classification by Generating Artificial Visual Features
International audienceThis paper addresses the task of learning an image clas-sifier when some categories are defined by semantic descriptions only (visual attributes) while the others are also defined by exemplar images.
bucher, maxime +2 more
core
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Few-shot semantic segmentation has attracted increasing attention due to its potential for low dependence on annotated samples. While extensively explored in the computer vision community, these techniques are primarily designed for natural images ...
Wei Ao, Shunyi Zheng, Yan Meng
doaj +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma +22 more
wiley +1 more source
A thermo‐responsive rectal delivery platform integrating probiotic‐derived extracellular vesicles within a hyaluronic acid‐based copolymer enables localized and sustained therapy for ulcerative colitis. The formulation effectively suppresses inflammation, promotes macrophage polarization toward a regenerative phenotype, restores epithelial barrier ...
Ayushi Mairal +5 more
wiley +1 more source

