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.

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 ...

AI Success Architecture: ROI Blueprint For Go-To-Market AI Programs

Many enterprises launch AI pilots without a defined success architecture, resulting in anecdotal wins instead of quantifiable ...
Data Center Frontier

Microsoft’s Fairwater Atlanta and the Rise of the Distributed AI Supercomputer

Microsoft’s second Fairwater campus in Atlanta showcases a new model for AI infrastructure, linking mega-sites into a unified ...
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, ...
The Stanford ReviewOpinion

We Trained China’s AI Researchers. Now We Risk Being Surpassed in AI Innovation.

Reinforcement Learning, one of the year’s most popular classes, taught by Professor Chelsea Finn. Her lab revolutionized ...