Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Abstract: Hunger is one of the global issues that needs attention, especially in developing countries. This study aims to compare which model can accurately predict the risk of hunger in a country ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
THE DRONES fly thick and fast towards Kyiv these days. Almost 500 were fired in a recent Russian attack on Ukraine’s capital, in the early hours of June 10th. Volodymyr Zelensky, Ukraine’s president, ...
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