Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

A new study shows that feeding large language models low-quality, high-engagement content from social media lowers their ...

The era has begun where AI moves beyond merely "plausibly drawing" to understanding even why clothes flutter and wrinkles ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

IBM Watson is a pretty big name in the AI world, and for good reason. It’s not just one tool, but more like a whole suite of ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Nearly a third of US supercomputer time is spent on molecular modeling, a way to test-drive new drugs and materials on the computer before making them in the lab. The most accurate approach is the ...