News

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity ...
Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a ...
Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).
TikTok was fined 530 million euros ($600 million) on Friday for violating a European Union data privacy law after regulators found the company had improperly transferred users’ personal data to ...
Microsoft CTO Kevin Scott previously said he expects 95% of all code to be AI generated by 2030. When Nadella threw the question back at Zuckerberg, the Meta CEO said he didn’t know how much of ...
Rice University. "Light-based data made clearer with new machine learning method." ScienceDaily. ScienceDaily, 28 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250428220611.htm>.
Researchers at Northwestern Engineering have developed a scientific machine learning framework that predicts and inversely designs the mechanical behavior of spinodal metamaterials – specially ...
Researchers used machine learning to predict the PAMs of millions of Cas9 enzymes, identifying a set of novel engineered Cas9 enzymes that would have the best on-target activity and specificity.
Lee, Choe and Kang used public data from the National Health and Nutrition Examination Survey, a government-sponsored survey, covering 2009-18. "We aimed to use machine learning to predict whether ...
Wikimedia says the dataset hosted by Kaggle has been “designed with machine learning workflows in mind,” making it easier for AI developers to access machine-readable article data for modeling ...
In the world of data cleaning, two approaches often stand out: Python, the go-to for coding enthusiasts, and Excel’s Power Query, a code-free, user-friendly alternative.
Getting started Users can start using data science agent in Google Colab by following these steps: Open a new Colab notebook. Upload a dataset (CSV, JSON, etc.).