Deep learning, a subset of ML, powers advancements in areas like natural language processing (NLP), image recognition, and ...

Such a learning paradigm often makes it more difficult to achieve the convergence of training models, and therefore the resulting network models are not easy to generalize, typically in machine ...

Transformer-based artificial neural networks have shown impressive results in natural ... validated and tested on two real-world datasets comprising various driving scenarios and battery conditions.

The STAR framework from Liquid AI uses evolutionary algorithms and a numerical encoding system to balance quality and efficiency in AI models.

This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning ...

Many definitions of artificial intelligence include a comparison to the human mind or brain, whether in form or function.

Neural Architecture Search (NAS) is revolutionizing AI by automating the complex design of neural networks, a task ...

This is the model repository of YNU's deep learning principles and platform course assignments, which mainly use remote sensing image datasets to achieve classification, colorization and ...

09/12/2024 - We built a Docker image for brain MRI registration with TransMorph. See details here! 09/03/2022 - TransMorph paper has been accepted for publication in Medical Image Analysis! Some ...

In today’s rapidly advancing technological world, professionals like Mst. Zannatun Ferdus are at the forefront of shaping the ...