Latest Articles for Technology Development

Enhancing haloscope performance through volume expansion and innovative designs.

Creating POS taggers for languages with limited training data.

New methods improve precision in matter-wave splitting of Bose-Einstein condensates.

Discover how Mamba changes in-context learning for artificial intelligence applications.

DeRa offers a method to adjust language model alignment without retraining.

This study investigates how retrieval-augmented models improve reliability in language generation.

A new method combines AI and traditional security for safer wireless communications.

This framework enhances large-scale network testing through efficient simulations and analysis.

Combining causal knowledge with reinforcement learning improves AI decision-making.

A new method improves AI alignment using real-time feedback.

Exploring issues in creating decision-making AI models and solutions.

ACTER offers effective explanations for machine decision failures in reinforcement learning.

Evaluating quantum computers through advanced benchmarking methods is key to improving reliability.

Research on NV centers in diamonds shows promise for better quantum control.

New framework improves how chatbots maintain dialogue roles.

Examining the obstacles and strategies for building a sustainable colony on Mars.

New tools improve how systems retrieve information from long documents.

A detailed look at CyberMetric's evaluation of AI and human experts in cybersecurity.

RIGID uses machine learning for efficient metamaterial design with minimal data.

New simulation methods enhance wind turbine design and efficiency.

This article explores how initial conditions impact open quantum systems and their dynamics.

Research on highly charged ions reveals insights into physics and technology.

Enhancing Whisper's speech recognition for Vietnamese and other low-resource languages.

A new method improves telescope imaging of distant planets.

Exploring the role of RSMA and HARQ in wireless communication.

Researching how AI can understand human thoughts and feelings.

Researchers investigate non-Abelian braiding operations in quantum states for improved computing.

This article examines how language models balance factual and counterfactual information.

Enhancements in measurement speed and accuracy for spin qubits are crucial for quantum computing.

Examining how fine-tuning increases the risk of revealing sensitive training data.

This article discusses techniques to improve reasoning transparency in AI models.

Examining how new words affect language model performance.

Discovering methods to reverse unknown quantum processes using virtual combs.

Superconducting wires enhance technology through efficient power transmission and advanced magnetic applications.

Examining the energy efficiency issues in training AI systems and potential solutions.

A method to help AI adapt while retaining past knowledge.

A new method enhances how language models select and use tools effectively.

Exploring privacy risks in advanced wireless communication networks by 2030.

Evaluating state vector and tensor network methods for simulating quantum systems.

A method to enhance language models in responding to unanswerable questions.