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 ...
Que.com on MSN

Yehey.com - Boost Deep Neural Network Performance with Architecture Optimization Techniques

Image courtesy by QUE.com In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have ...

The New ROI: Return On Learning In The Age Of AI

Technology that addresses fundamental learning barriers delivers returns that ripple far beyond individual productivity gains ...
Frontiers

Information Theory Meets Deep Neural Networks: Theory and Applications, Volume II

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
PR Newswire APAC

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...