Results 141 to 150 of about 16,806 (262)
The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm. [PDF]
Bonela AA +5 more
europepmc +1 more source
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo +10 more
wiley +1 more source
A Distinguishable Pseudo-Feature Synthesis Method for Generalized Zero-Shot Learning. [PDF]
Jia Y, Ye X, Liu Y, Xing H, Guo S.
europepmc +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. [PDF]
Sivarajkumar S, Wang Y.
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms. [PDF]
Kulmanov M, Hoehndorf R.
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
A hybrid transformer-zero-shot learning framework with Muon optimization for intelligent channel estimation in MIMO wireless systems. [PDF]
Salama WM +3 more
europepmc +1 more source

