Deep-learning model predicts how fruit flies form, cell by cell

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of ...
EurekAlert!

Deep learning-based video snapshot compressive imaging of Leidenfrost droplets

Researchers have developed a novel computational imaging system that integrates optical compression and deep learning to ...
IEEE

Optimizing Urban Intersection Management in Mixed Traffic Using Deep Reinforcement Learning and Genetic Algorithms

This study aims to optimize lane configurations at urban intersections within mixed traffic environments, integrating both Connected Autonomous Vehicles (CAVs) and Human-driven Vehicles (HVs). By ...
The Lancet

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...
Frontiers

Efficiency algorithm: new AI-based tools for an adaptive learning environment

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.