Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to social influencers.

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

SAN DIEGO, Feb. 18, 2026 /PRNewswire/ -- Ultra I&C led a live, multi-company demonstration showcasing a fully digital sensor-to-effector kill chain, from threat detection to classification to ...

Denver, CO, Feb. 17, 2026 (GLOBE NEWSWIRE) -- GeoCue will unveil four new add-ons for its LP360 Drone point cloud processing software at Geo Week 2026 in Denver: AI Ground+, AI Forestry, AI Utilities ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Abstract: Data extracted directly from a vehicle’s electronic control unit (ECU) play a crucial role in the automotive industry because they contain valuable information from the engine and electronic ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Abstract: Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. The treatment for epilepsy is influenced by the types of seizures. Therefore, developing a reliable, ...