Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
IEEE

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review

Abstract: Cancer remains one of the most challenging diseases to treat in the medical field. Machine learning (ML) has enabled in-depth analysis of complex patterns from large, diverse datasets, ...

Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
Tech Xplore

Machine learning algorithm rapidly reconstructs 3D images from X-ray data

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
Frontiers

Integrating AI and Computational Neuroscience for mental health: Neuroanalytic approaches to pattern detection and brain disorder diagnosis

Artificial intelligence (AI) and computational modeling are transforming the landscape of neuroscience, offering unprecedented opportunities to detect, ...
Semiconductor Engineering

Machine Learning Tools Accelerate Materials Discovery

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...