Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

This AI decade truly represents: a fundamental renegotiation of power, responsibility, and the future of human agency.

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Researchers have crossed a threshold that once belonged squarely to science fiction: they have built working models of brains ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...