Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

Learn how to implement the RMSProp optimization algorithm step by step in Python. Perfect for deep learning beginners and ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

In this paper, we study the decentralized federated learning problem, which involves the collaborative training of a global model among multiple devices while ensuring data privacy. In classical ...

With federal funding slashed, should humanitarian orgs pivot to private industry tactics? “In this sector, I found the spirit of collaboration to be unbelievable,” said Janti Soeripto ...

Liars Can Defeat AI Algorithms Using One Simple Technique AI algorithms to detect deception have a tough time outsmarting human ingenuity. Posted June 11, 2025 | Reviewed by Monica Vilhauer Ph.D.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Deep learning A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure.

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.