Quantum dot–based time-bin QKD achieves stable, long-distance secure communication with practical performance.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Abstract: Hyperspectral unmixing is an important issue in the remote sensing field for identifying the constituent materials and their respective distributions in a scene. In recent years, a large ...

The New AI-powered replication strategy is designed to improve benchmark tracking and risk-adjusted performance Ai For Alpha, a fintech company specializing in AI-powered investment strategies, today ...

Abstract: Many people can read and listen to English well but may need help to speak it well. This paper aims to implement an AI English-speaking interactive training (AIESIT) system based on AI for ...

Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic representations across a wide range of languages.

Decoder: Hashing Hashing is a one-way process that transforms data into a unique signature. For a function to qualify as a hashing algorithm, the output it generates must be irreversible. A proficient ...

Background: Despite its proven efficacy, retention in medication for opioid use disorder (MOUD) remains low, with structural and systemic barriers—such as access to care and treatment ...

For: Third Session of the Preparatory Commission for the Agreement on Marine Biological Diversity of Areas Beyond National Jurisdiction (BBNJ Agreement) Location: New York, United States of America My ...