In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Dao is part of a central group that provides data and machine-learning capabilities to the company. He ensures the data team ...

A new study shows that deep learning can accurately predict the impact of environmental regulations before they are implemented, outperforming traditional expert models. Applied to the Clean Water Act ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

In this interview, Raymond Mitten, Vice President of Advanced Digital Technologies at Imperative Chemical Partners, explains ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, acting as sophisticated statistical mirrors of the internet. But for the ...

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using artificial intelligence (AI). This article reviews some of the highlights from ...

Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their highly specific innovation needs. Scientists have now built a new machine ...