No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Florida State University researchers have created a new crystalline material with unusual magnetic patterns that could be ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest ...

Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...

You’ve heard of qubits, now get ready for p-bits! These units form the building blocks of probabilistic computers that can solve certain problems more efficiently than traditional computers. A team of ...

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 ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...