RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
ChatGPT’s 4o model was beloved by many users, but it was controversial for its sycophancy and the real-world harms linked to ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Detecting hidden pollutants with real-time environmental sensors involves using IoT air-quality monitoring, photonic water sensing, and sensor-network-based hotspot mapping.
Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
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