Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

USPTO Director Squires’s 2025 policies encourage more use of evidence-based SMEDs to challenge patent rejections, especially ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...