A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often ...

The deep learning model processes the image through its layers of neurons. Then, the AI model successfully identifies and classifies the image, showcasing its ability to interpret complex visual data.

Deep-learning algorithms must be fed data before they can make any predictions. DeepCrop algorithms on plant growth simulation were trained in a similar manner.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Deep learning algorithms are being integrated into the metaverse to improve communication and interaction with customers and visitors.

A novel universal deep learning model for segmentation of automated optical inspection images for both PCBA and semiconductor components.

An AI model trained on analyzing ultrasound images and molecular testing results may assist health care professionals treating indeterminate thyroid nodules, researchers stated in a letter to the ...

The model performed well in conversion time estimation in the external validation cohort (CN to the mild cognitive impairment stage, concordance index, 0.7; MCI to Alzheimer's disease, concordance ...

Common types of AI models include machine learning, deep learning, natural language processing, computer vision, generative AI, and hybrid AI. (Jump to Section) ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.