Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

neural network: A computational model that resembles the human brain's structure and is meant to recognize patterns in data. Consists of interconnected nodes, or neurons, that can recognize ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

The integration of digital twin technology into wind turbine maintenance represents a significant advancement in the renewable energy sector. By enabling real-time monitoring and predictive analytics, ...