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 ...

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

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

Evaluating human gait and posture is a clinically effective method for the early diagnosis of diseases involving gait afflictions, such as adult spinal deformity (ASD).

How to improve classification by using multiple models in the classification process with unique algorithms. May 14th, 2024 - By: Onto Innovation In traditional semiconductor packaging, manual defect ...

WiMi's image classification system based on deep learning and machine learning models has a wide range of practical application scenarios, ...

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.

(2025, February 18). A geometric deep learning method for decoding brain dynamics. ScienceDaily. Retrieved July 12, 2025 from www.sciencedaily.com / releases / 2025 / 02 / 250217133453.htm.

More information: Adam Gosztolai et al, MARBLE: interpretable representations of neural population dynamics using geometric deep learning, Nature Methods (2025). DOI: 10.1038/s41592-024-02582-2 ...