See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without real money.

Abstract: Ensuring the accuracy of stock price predictions is crucial for maintaining financial stability and making informed decisions. The prompt identification of stock market trends and the ...

Background: The purpose of this study is to use a variety of machine learning (ML) algorithms to build a risk prediction model for nursing students’ social anxiety, select the optimal model, and ...

Palantir (NASDAQ: PLTR) remains one of the most closely followed artificial intelligence stocks heading into 2026 as investor focus turns to the company’s commercial expansion and rising enterprise AI ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

📈 Predict market trends using a language model that reads stock charts as text, offering insights into price movements for better investment decisions.

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 ...

Department of Chemistry, Waterloo Data and Artificial Intelligence Institute and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON N2L 3G1, Canada ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

Panic attack prediction remains a critical challenge in mental health management due to the high inter-individual variability of physiological responses and the subjectivity of psychological ...