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, ...

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.

A versatile deep-learning model for accurate prediction of plant growth. Nanjing Agricultural University The Academy of Science. Journal Plant Phenomics DOI 10.34133/plantphenomics.0035.

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 ...

Curious about deep learning AI? Here’s your guide on deep learning, how it works and how it is deeply associated with the artificial intelligence world.

In a final ensemble model, AUROC rose to 0.831 and specificity increased to 0.703 (P = .0008 for both) while sensitivity remained the same as the base model. Positive predictive value increased ...

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 ...

Study: Identifying underlying patterns in Alzheimer's disease trajectory: a deep learning approach and Mendelian randomization analysis.Image Credit: Andrey Suslov /Shutterstock.com Background ...

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