Evolution favors flatter paths when fitness outcomes are equal, study finds

A surprising discovery by Technion researchers sheds new light on the dynamics of evolution. Published in the Proceedings of ...
eLife

Evolution imposes an inductive bias that alters and accelerates learning dynamics

To assess the effect of merging computational models of evolutionary optimization and gradient descent, we developed a new algorithmic process, dubbed evolutionary conditioning (EC). EC is ...
EurekAlert!

Multi-objective evolutionary optimization for hardware-aware neural network pruning

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...
TMCnet

WiMi's Next-Generation Quantum Convolutional Neural Network Reshapes Classical Data Classification Methods

From the perspective of technical implementation logic, this quantum convolutional network adopts an overall hybrid quantum-classical architecture design. First, classical data is mapped to the ...
The Conversation

Physics Nobel awarded to neural network pioneers who laid foundations for AI

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...