This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

This AI company is making popular AI chips and developing a leading large language model. It should see strong sales growth across its hardware business while more developers license its model. The ...

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 ...

jquants-pairs-trading is a python library for backtest with japanese stock pairs trading using kalman filter, J-Quants on Python 3.8 and above. jquants-algo is a python library for algorithmic trading ...

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 ...

Robinhood Markets shares popped after the online brokerage unveiled plans for a futures and derivatives exchange to expand its array of prediction contracts. The exchange, which is being launched with ...

Department of Ophthalmology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China Purpose: This study aimed to investigate longitudinal changes in ocular parameters and develop a ...

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.

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...