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

Benefits of deep learning include flexibility, scalability, and adaptation to various learning methods and large datasets. Deep learning models are designed to handle various inputs and learn ...

The self-supervised learning (SSL) is a machine learning method that reduces the need for labeled data. Despite the surge in SSL research, there has been a dearth of SSL applications in image ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning method capable of automatically identifying transition states in ...

Several methods used in deep learning enable AI models to carry out complex tasks with high precision. These allow neural networks to process and identify data in different forms, such as texts ...

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an approach that makes learning more personal, emotional, and impactful ...

Combining data-driven machine learning approaches with model order reduction methods, we will develop fully certified multi-fidelity modelling frameworks for parameterised PDEs, design and study ...

A geometric deep learning method for decoding brain dynamics. ScienceDaily . Retrieved June 3, 2025 from www.sciencedaily.com / releases / 2025 / 02 / 250217133453.htm ...

A deep learning method, TS-DAR, enables automatic identification of all transition states in protein conformational changes by treating them as out-of-distribution data in a hyperspherical latent ...