Abstract: Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal ...

The special Collection “Machine learning for automated experimentation in STEM” explores all aspects of the integration of machine learning (ML) into STEM to transform experimental workflows. This ...

Take a break from reality and step into Starsand Island, a cozy game that has all the warmth and a gentle touch that we all ...

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...

Abstract: The introduction of Automated Machine Learning (AutoML) can be considered a game-changing development in the field of data science and more specifically, in the area of big data analytics.

At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, emphasized the importance of incorporating chromatographic expertise into machine learning approaches for successful ...

Philadelphia residents have been sharing sidewalks with robot delivery drivers for about a month, and they're not thrilled with the change. Uber Eats held a demo March 10 showing off Avride autonomous ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering powerful new tools to overcome long standing ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...