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 ...

Open source language models are crucial to AI innovation. Can open robotics models do the same for physical machines?

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 ...

When students entered Tsinghua University in Beijing this year, one of the first representatives they met wasn’t a person.

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

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 ...