Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond efficiency gains. Machine learning classifiers have confirmed hundreds of ...

International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial ...

For two decades, a Georgia Tech professor has used simple data to track the best teams in college basketball and predict who ...

Abstract: Scanning electron microscopy (SEM) plays an important role in providing high-resolution imaging in various fields, including industrial chip manufacturing, materials science, and nanoscale ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

The takeaway: Microsoft and other data center operators are racing to develop new methods for storing massive amounts of data on permanent media. Redmond is pursuing a technology based on glass and ...

This summer, Johns Hopkins will host a graduate student fellowship designed to prepare emerging data scientists to leverage the latest developments in generative artificial intelligence and machine ...

AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some indescribable by science. When you purchase through links on our site, we may earn an ...

Diagnoses of depression, one of the most common mental disorders, increased by nearly 50% between 1990 and 2017, according to data from the World Health Organization (WHO). Currently, depression ...

Pediatric Speech Sound Disorders (SSDs) are conventionally diagnosed using auditory-perceptual assessments, heavily relying on International Phonetic Alphabet (IPA) transcriptions. This approach, ...