Latest Articles for Research And Innovation

Exploring how quantum mechanics impacts chemical reactions and their behaviors.

A joint model improves breast density predictions using low-dose mammograms.

Exploring the blend of privacy-focused learning and data generation techniques.

A new framework automates crystal design using machine learning techniques.

Scientists leverage machine learning to optimize Kitaev chains for Majorana state discovery.

Researchers enhance program synthesis systems for better understanding user needs.

New methods improve language model predictions under varying input conditions.

A new method enhances agent learning in reinforcement learning environments.

Arctic optimizes qubit movement in neutral atom quantum computers for improved performance.

Exploring the complex relationships between Acanthamoeba, viruses, and their ecosystems.

Exploring the unique properties of banana nano-manifolds in geometry and number theory.

Researchers develop algorithms to improve measurement of quantum entanglement.

A new method enhances MRI scans by using prior images for quicker results.

Researchers leverage AI to improve materials modeling through a new deep learning approach.

ALPS streamlines the design of photonic surfaces using machine learning.

FEAS enhances automated theorem proving for functional equations using new strategies.

MindSpore Quantum simplifies the development and simulation of quantum algorithms.

Researchers investigate how tiny materials handle friction and contamination.

Sequential policies improve performance in dynamic algorithm configuration with interrelated choices.

A user-friendly tool for analyzing CGM data in diabetes management.

A look into how polymer chain behavior affects material performance.

CliNR offers an efficient approach to minimize errors in Clifford circuits with fewer resources.

Exploring the nature of time and its challenges in physics.

SSIP enhances the management of quantum codes for reliable computing.

Hexagonal boron nitride is vital for the future of quantum technologies.

Examining how QSVT improves quantum algorithms for eigenvalue estimation and numerical integration.

A new approach enhances machine translation quality and speed using kNN.

Thailand aims for greater self-sufficiency in drug production through improved strategies and support.

Holographic MIMO aims to improve signal transmission efficiency in evolving communication systems.

Research reveals the impact of layer thickness on thermoelectric materials.

New methods improve qubit allocation in QCCD architectures for better efficiency.

Research reveals unique light interactions with twisted materials, opening new optical applications.

Improving maritime communication through integrated systems and robust designs.

A novel approach to estimating blood flow using machine learning techniques.

Researchers use machine learning to create data for particle physics more efficiently.

Study of electric charge generation in materials under strain at nano-scale.

New quantum algorithms improve optimization problem solutions, particularly Max-SAT.

New research on Quantum Energy Teleportation shows improved energy transfer efficiency using three qubits.

New method BaDLoss enhances protection against data poisoning in machine learning.

Exploring how quadrupoles can change material properties through unique arrangements.