One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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 ...

We all know that AI is expensive, but a new set of algorithms developed by researchers at the Weizmann Institute of Science, Intel Labs, and d-Matrix could significantly reduce the cost of serving up ...

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 ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Robots are increasingly deployed in environments that are unsafe or inaccessible for humans, from collapsed buildings and underground tunnels to industrial sites and disaster zones. In many of these ...