Indeed, Morningstar analyst Mark Giarelli says Axon has played a central role in the company's success. "AppLovin is driving ...

How prediction machines have become infrastructure for the legitimacy of event outcomes, no matter how outlandish.

Applied Digital is scaling massive AI infrastructure with long term contracts and a bold spin out that could unlock explosive upside.

Abstract: To enhance the accuracy of stock price forecasting, this research utilizes a hybrid machine learning approach that integrates the Gated Recurrent Unit (GRU) with the Light Gradient Boosting ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

Learn how Amazon sellers can use AI ecommerce optimization to boost visibility, automate tasks, forecast inventory and scale ...

A recent study reveals that bacteria residing within colorectal tumors form distinct ecosystems closely linked to disease progression and patient outcomes. These “tissue-resident” microbes appear to ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...

This list is continuously updated. Pull requests welcome — please follow CONTRIBUTING.md. A curated list of 500+ AI/ML/DL/CV/NLP projects and resources (tutorials, repos, datasets, papers-with-code).

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 ...