Latest Articles for Technology Advances

An overview of Variational Quantum Algorithms and their applications in quantum computing.

Understanding the impact of adversarial attacks on machine learning models.

Introducing a framework for more accurate query performance assessment in information retrieval.

Examining how spectral diffusion affects single-photon sources and their applications.

Discover how AI systems learn over time without losing past knowledge.

A novel architecture aims to teach AI systems to combine learned skills for diverse tasks.

A new method enhances user scheduling in wireless networks using channel statistics.

Exploring the latest developments in secure communication through quantum key distribution techniques.

A new method improves mapping of quantum circuits onto processors.

DynaMo models generate text faster and with better quality using multi-token prediction.

New techniques improve efficiency and accuracy in large language models.

A new technique for dynamic memory allocation improves efficiency in large language models.

A new method enhances data handling in AI applications, focusing on feature extraction.

QUIC improves online communication with speed and security.

A new system enhances traffic monitoring accuracy and efficiency for network operators.

New method combines Go-Explore with advanced models for better machine learning.

This article explores the impact of pulse shapes on qubit control in quantum systems.

New methods improve model performance during quantization in language models.

Robots can now ask for help to complete complex tasks.

Automatic feature extraction transforms data analysis at particle colliders.

A new method enables quick and precise recoloring in 3D scenes.

Reducing storage needs while maintaining image quality through innovative quantization methods.

2RA Q-learning improves machine learning by reducing bias and speeding up learning.

Cylindrical shearlets enhance image clarity in dynamic object scans.

A new method improves image and text retrieval across multiple languages.

Exploring the potential of time crystals in next-gen quantum devices.

LEMoE offers efficient updates for large language models, addressing key challenges.

Model merging combines different AI models for improved performance across tasks.

Improving power and spectral efficiency in MIMO systems with low-resolution ADCs.

Silicon qubits show promise for faster quantum state preparation in computing.

SineKAN offers improved speed and performance using sine functions in neural networks.

New method improves neural network security using stochastic computing.

A new approach to improve robot route planning and object visibility.

A new method enhances body part segmentation in complex images.

LeRF combines deep learning and interpolation for better image resizing.

A new method improves privacy while training deep learning models.

New methods enhance measurement accuracy but face noise challenges.

Exploring the potential of quantum algorithms for complex optimization tasks.

A novel technique allows detailed imaging without complex setups.

A look at methods to enhance image quality affected by haze.