Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries ...

The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries In today’s industrial facilities, condition monitoring plays a critical role in ...