The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

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 ...

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

The software supports CNN, DNN and KNN algorithms. The use of CNN and DNN are currently mainstream in the development of deep learning (DL) for ADC classification in the semiconductor industry. We ...

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

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

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy.

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 ...

KEY TAKEAWAYS. Deep learning focuses on predicting or classifying data, while generative AI creates new content. (Jump to Section)Common deep learning techniques include CNNs, RNNs, and LSTMs.