MarketBeat on MSN
High risk, high reward: 3 healthcare stocks to watch in 2026
Last year, the biotechnology industry leaned heavily into the power of artificial intelligence (AI), using machine learning ...
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 ...
Applied Digital benefits from AI data center demand, a REIT shift, modular sites, hyperscaler deals, and a $1B NOI target.
Business.com on MSN
How machine learning is boosting business growth
Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...
Speculation that OpenAI could buy Pinterest sparked an intense backlash from some Pinterest users They are concerned AI would disrupt one of the internet’s last largely user‑curated creative spaces ...
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 14 ...
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 ...
Nvidia's latest earnings triggered a round of price-target bumps on Wall Street. The chipmaker said it expected to pull $65 billion in revenue this quarter. Analysts said they believe Nvidia's growth ...
Nitrogen (N) and phosphorus (P) are essential limiting nutrients in dryland ecosystems, yet their storage and spatial patterns at regional scales remain poorly understood. This study aims to quantify ...
Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
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 ...
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