Abstract: Properly predicting students'academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint ...

This article was produced for ProPublica’s Local Reporting Network in partnership with Oregon Public Broadcasting. Sign up for Dispatches to get our stories in your inbox every week. These highlights ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Leah Belsky, OpenAI's vice president of education, says students should be learning how to use AI. Belsky says that coding with AI is essential to students' capacity to survive post-college. OpenAI ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

Do you like Lionel, Marx, MTH, K-Line, Menards, and other 3-rail O gauge trains? Do you like big trains but have a small budget? This is the channel for you! Novices are welcome here! I received my ...