The AACE consensus statement emphasizes improvement of overall health in addition to weight reduction among adults with obesity and adiposity-based chronic disease.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

User expectations: Platform norms have evolved. On YouTube, viewers are accustomed to videos in the ~5–15 minute range for tutorials, vlogs, and reviews. Much shorter, and they may assume the content ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In the era of global energy transition, battery inverters have evolved from simple power conversion devices into core hubs that link renewable energy generation, energy storage systems (ESS), and ...

We study the contextual dueling bandit problem, where a learner uses contextual information to make two decisions and receives only relative (comparison) feedback. This problem is crucial in ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

Abstract: Most of the approaches proposed so far to craft targeted adversarial examples against Deep Learning classifiers are highly suboptimal and typically rely on increasing the likelihood of the ...