Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a ...

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN).

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 "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 ...

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

Specialization: Machine Learning Instructor: Geena Kim, Assistant Teaching Professor Prior knowledge needed: Calculus, Linear algebra, Python Learning Outcomes Explain what multilayer perceptrons, ...

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.