Using limited human motion data, researchers trained a humanoid robot to track fast balls and rally with humans in real time.
Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Abstract: Accurate forecasts of short-term electricity consumption are essential for efficient energy management in buildings and residential households. This research introduces a new approach for ...
Jaime Tugayev is the News Editor for DualShockers with over a decade of experience, and a much longer love for fantasy, shooters and strategy games. Figuring out what's the best, most realistic flight ...
The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...
It’s no secret that much of social media has become profoundly dysfunctional. Rather than bringing us together into one utopian public square and fostering a healthy exchange of ideas, these platforms ...
Abstract: Aiming at the influence of various external factors on the range of projectile launching, and the problems of time error accumulation and precision decline ...
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