Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

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 ...

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 ...

Generative AI is different from older AI because it creates new things, while older AI usually just sorts or analyzes stuff.

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

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

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Many existing methods for exploring the link between neural activity and behavior rely on the analysis of static images and brain scans ... dynamical modeling framework based on recurrent neural ...