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

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 ...

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

This study addresses an energy-efficient multiobjective distributed assembly permutation flowshop scheduling problem with sequence dependent setup time. The objectives are to minimize the maximum ...

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 ...

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Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...