Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Jigyasa Grover shares what worked and what she'd change about the résumés that landed her roles at Meta and X.

MIT researchers have created a periodic table that shows how more than 20 classical machine ... learning (I-Con), shows how a ...

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

A collection of Jupyter Notebooks for fine-tuning BERT models on multi-label classification tasks (e.g. genre and form classification of book reviews). Case-based interpretable deep learning for ECG ...

Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...

In a highly regulated area like financial services, generative AI tools can still go off the rails, says Keith Toney, president of Credit and Decision Management at Discover Financial Services.