Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...
Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for ...
Vector databases store, index, filter, and search embeddings so applications can retrieve items by similarity at operational ...
Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to ...
Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...
Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...
Two neighborhoods sit on opposite sides of a map, one residential, one commercial, with a strip of empty land running between them. A city planner drawing the zoning boundary wouldn't hug the edge of ...
Childhood asthma poses a significant threat to pediatric health, and traditional assessment methods are often inadequate in efficiency and accuracy. This study aims to develop a rapid assessment tool ...
Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...
Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...
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