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 ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

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

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

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

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

This Python library implements Constrained Monotonic Neural Networks as described in: Davor Runje, Sharath M. Shankaranarayana, “Constrained Monotonic Neural Networks”, in Proceedings of the 40th ...

Explore the fascinating world of convolutional neural networks (CNNs) and uncover how they’ve revolutionized the field of computer vision and deep learning. Understand the building blocks of CNNs and ...