Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...
Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
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