Latest Articles for Data Science

Recent machine learning techniques improve tracking in high-energy physics experiments.

New event cameras enhance sign language recognition and translation accuracy, improving communication tools.

Scientists use scattering transforms to enhance cosmic data interpretation and modeling.

New framework improves models' ability to answer time-sensitive questions.

New method enhances Bayesian Neural Networks for better generalization in transfer learning.

A new method combining offline and online reinforcement learning for improved decision-making.

A new framework addresses fairness, privacy, interpretability, and emissions in AI.

This study highlights STR improvements using RoBERTa across languages.

A new method enhances classification accuracy for critical disease severity categories.

Introducing GOAR, a method for better understanding feature importance in AI.

A framework for improving AI sentiment analysis in healthcare conversations.

A model to forecast next actions in soccer games using past data.

A new approach makes machine learning tasks easier to understand and implement.

Researchers enhance 3D shape learning using diverse data sources for improved machine understanding.

An overview of SGD's role in machine learning optimization.

Exploring two methods for simplifying complex functions in mathematics and computer science.

A novel approach to enhance continual learning with prompts and knowledge distillation.

Learn effective methods for fine-tuning large language models with less data and lower costs.

KnewImp improves accuracy in missing data imputation and simplifies training processes.

A look at Markov random fields and their role in analyzing complex relationships.

A novel approach to improve language models using human feedback.

CoAPT enhances image classification through context attribute words in prompt tuning.

Research introduces Top-ML for better anticancer peptide prediction using topological features.

Introducing a method to create high-quality street views over long distances.

Introducing Random Latent Exploration: a novel approach to improve agent exploration.

A new method improves uncertainty estimation in machine learning applications.

Euclid seeks to unveil the mysteries of dark energy and dark matter.

Exploring technology to streamline the medical coding process and improve accuracy.

Discover how vocabulary size influences the performance of large language models.

This article tackles miscalibration issues in vision-language models and offers solutions.

ZeroMMT uses monolingual multimodal data to enhance translation without expensive datasets.

A study on how well LLMs function as reliable knowledge bases.

Qalam offers improved recognition for Arabic text and handwriting.

Dynamic Semantic Adjuster improves self-supervised learning performance across various tasks.

A study on optimizing RL agents through careful selection of training instances.

Learn how low-rank approximation simplifies large matrices and enhances computations.

This article discusses how Bayesian methods improve confidence in neural network predictions.

A new model enhances trajectory prediction for self-driving cars in diverse conditions.

A method to optimize patient data collection for better health outcomes.

CycleMix enhances AI models by mixing image styles for better performance.