Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Australia is positioning itself as a global quantum computing leader with a vision to help define a technology roadmap that ...
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 ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the ...
Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...
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