Data-Efficient Vision: Exploring Few-Shot Learning Techniques [PDF]
Few-shot learning (FSL) enables models to generalize from limited training datasets, transforming the fields of machine learning and computer vision. We examine few-shot learning and computer vision. Few-shot learning is necessary when data is limited or
Venkat Rama Raju Alluri
core
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.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
Identification of shipping signals with few-shot learning: A distribution-aware approach. [PDF]
PLoS OneKim BK +6 more
europepmc +1 more source
Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics
Advanced Science, EarlyView.This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li +8 more
wiley +1 more source
Enhancing Enzyme Activity With Mutation Combinations Guided by Few-Shot Learning and Causal Inference. [PDF]
Angew Chem Int Ed EnglGuo L +15 more
europepmc +1 more source
Advanced Science, EarlyView.This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
Few-Shot Learning for Cytological Classification of Primary Lung Cancer and Pulmonary Metastases During Endobronchial Ultrasound. [PDF]
Diagnostics (Basel)Lin CK +4 more
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
Advanced Science, EarlyView.This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Adaptive continual botnet detection with self-supervised prototypical networks and few-shot learning for evolving botnet detection. [PDF]
Front Artif IntellJunar N, Arockiasamy K.
europepmc +1 more source
Advanced Science, EarlyView.Impaired MEC astrocytic Ca2+ signaling is associated with fragmented spatial exploration in AD mice. Region‐specific glial progenitor transplantation generates engrafted astrocytes that are accompanied by improved AQP4 polarization, reduced amyloid‐β‐associated pathology, attenuated neuroinflammation, preserved synaptic integrity, and ameliorated ...
Fengjuan Wu +16 more
wiley +1 more source