Latest Articles for Data

A new method enhances how we process complex data by recognizing symmetries.

A new challenge aims to improve AI tools for analyzing panoramic X-rays.

Generative models help address challenges in satellite communication by creating synthetic data.

Improving safety in self-driving cars by quantifying prediction uncertainty.

This study examines GPS technology for predicting aftershocks in Japan.

Examining the potential of Federated Learning in IoT and edge devices.

A new approach tackles the issue of bias in AI systems.

A new TTS system enhances speech generation across multiple languages with limited data.

Recent measurements reveal significant resonance structures in charmonium particle interactions.

i-Code V2 integrates vision, language, and speech for better AI responses.

Research reveals intriguing dynamics of a star system and its companions.

New methods help measure tree competition for better forest management.

New methods aim to improve understanding of family dynamics and children's mental health.

AI technology is transforming how ECGs are analyzed for heart health.

Examining how government online targeting affects transparency, privacy, and equality.

A new method leverages symmetry in data for better learning outcomes.

A study on how museums acquire contemporary art and its impact on artists.

DBScope simplifies the analysis of Deep Brain Stimulation data for clinicians and researchers.

Exploring the intersection of quantum computing and machine learning advancements.

Learn how Turbo Autoencoders improve communication reliability over long distances.

Understanding models that combine various data types for better output generation.

Studying super-massive galaxies reveals new perspectives on the universe's structure and evolution.

Explore how Bayesian Networks improve insights across various fields, including medicine and biology.

New approach improves prediction of macrocyclic peptide shapes for drug design.

ShuttleSet offers detailed data for analyzing badminton singles matches.

A new model improves predictions of pedestrian movement by accounting for sensor uncertainty.

A new approach for better insights into complex systems using neural networks.

Innovative methods improve how robots learn from various data types.

Examining privacy issues in FemTech technologies for women's health.

A novel approach uses limited data to improve predictions of protein-peptide interactions.

Addressing the calibration challenge in deep learning with Mixup techniques.

Study finds effective machine learning methods for predicting rectal cancer return.

A new framework improves heart failure risk identification and patient care.

A fresh approach reveals insights into LEO satellite networks based on real user data.

This study analyzes search engine data to understand vaccination behaviors and hesitancy.

Research shows GAP can boost language model performance using random text.

This research analyzes dialects using audio recordings to reveal their similarities.

New method improves TTS adaptation with minimal data requirements.

Crowd workers increasingly use LLMs, raising concerns about data authenticity.

Using machine learning to speed up microservice failure diagnostics.