By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

This study presents a compact MEMS gas sensor that combines pulsed heating with machine learning, achieving high selectivity ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Pretrained foundation models for diagnosing nonmelanoma skin cancer outperformed baseline machine learning models.

IonQ (NYSE: IONQ), a leading commercial quantum computing and networking company, today announced new research advancements ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...