The decision in Recentive Analytics v. Fox Corp. is significant for patent attorneys and applicants in the AI space, particularly those seeking protection for inventions that incorporate machine ...

Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies in ...

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving from a niche discipline into a cornerstone of application innovation.

Welcome to the Real-Time Stock Price Prediction and Market Analysis repository! This project focuses on predicting stock prices using advanced machine learning techniques. We utilize Long Short-Term ...

AI and machine learning are reshaping how brands interact with their audiences and redefining campaign management, customer engagement and data-driven decision making.

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

The Recentive Analytics decision affirms that applying generic machine learning methods to new data environments is insufficient for patent eligibility under § 101 ...

When schools use educational data effectively, they can help students improve their learning outcomes and well-being.

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...