Presentation of the best paper award at the RoboCup 2025 symposium.
What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...
When do people behave badly? Extensive research in behavioral science has shown that people are more likely to act ...
DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human ...
Understand what Machine Learning is, how it works, and its three main types, along with some real-life examples.
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...
OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback