In a world increasingly reliant on real-time data and uninterrupted digital services, Prabhu Govindasamy Varadaraj presents a transformative vision for system observability. With expertise rooted in ...

They used machine learning methods that probed down to the molecular level while also retaining quantum-mechanical accuracy of the various interactions. "As the number of material layers increases ...

Nature is still too complex for artificial intelligence (AI) modeling to be effective, but the tipping point is close, ...

In the modern digital transformation era, Artificial Intelligence (AI) is reshaping agriculture, offering smarter, data-driven solutions to improve productivity, sustainability, and efficiency.

See how firms from Goldman Sachs to Bridgewater are using it. Welcome to Wall ... Marco Argenti, and head of machine learning quants, Dimitris Tsementzis, say we are at an inflection point with ...

(ANTARA/HO-Press Bureau of the Presidential Secretariat) Jakarta (ANTARA) - President Prabowo Subianto marked National Education Day by reviewing a demonstration of learning practices in schools using ...

We have proposed a machine algorithm for optimizing the energy sources in smart cities. This methodology can be useful for future smart city plans and adequately dealing with our energy resources.

The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive ...

May 7, 2025 — The growing use of smart home devices is undermining the privacy and safety of domestic workers. New research reveals how surveillance technologies reinforce a sense of constant ...