Abstract: Quantum computers are gaining importance in various applications like quantum machine learning and quantum signal processing. These applications face significant challenges in loading ...
Abstract: Sensor-based cattle monitoring is a growing field within precision livestock farming, where machine learning algorithms are used to detect health issues, monitor behavior, and improve ...
Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you see in the "For You" feed.
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
A new resource has been launched by Demystify Biometrics to apply its mission of increasing transparency to governments, enterprises, analysts and investors around biometric performance to the ...
Social media algorithms shape what users see, influencing emotions, perceptions, and mental well-being in ways that often go unnoticed. This article examines how these automated systems can amplify ...
ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
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