Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Deep learning using multimodal MRI can distinguish Parkinson’s disease from multiple system atrophy with high accuracy, ...

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

KEY TAKEAWAYS • Different types of AI models power rigorous applications, each tailored to specific tasks. Common types of AI models include machine learning, deep learning, natural language ...

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids with greater ease. These synthetic drug compounds have emerged as a ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...