Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

"Alpha Trend" combines deep reinforcement learning (DRL) with quantitative algorithms, integrating analytical tools such as moving averages, Bollinger Bands, and ATR to identify short-- to ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Laboratory findings show biochar's role in enhancing thermal resistance and moisture stability in living wall systems, promoting sustainable urban design.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...