A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Distributed machine learning in healthcare has great potential in training models to learn from the patients’ data distributed across different medical institutions. Recently, there has been a ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO' or the 'Company'), a technology service provider, announced the proposed multi-qubit quantum state sharing scheme, which, through an innovative ...

This paper presents a method for estimating the air data parameters for a small fixed-wing, unmanned aerial vehicle (UAV) using an arrangement of low-cost Micro-electromechinal systems (MEMS)-based ...

At TC Disrupt 2025, the AI conversation goes deeper than just the latest models and discusses the difference between ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

Soham Parekh, a software engineer, faces accusations of secretly juggling multiple jobs simultaneously, sparking controversy ...