Nature

Connectome-constrained networks predict neural activity across the fly visual system

The alternative text for this image may have been generated using AI. We investigated the importance of connectome constraints and task optimization to enable accurate predictions of neural activity.
Visual Studio Magazine

Create a Working Neural Network Prediction System with C#

Many "AI experts" have sprung up in the machine learning space since the advent of ChatGPT and other advanced generative AI constructs late last year, but Dr. James McCaffrey of Microsoft Research is ...
Nature

Using deep neural networks to disentangle visual and semantic information in human perception and memory

Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they ...
Medical Xpress

Neural decoding of visual information across different neural recording modalities and approaches

Every day, various types of sensory information from the external environment are transferred to the brain through different modalities and then processed to generate a series of coping behaviors.
Visual Studio Magazine

Neural Network Quantile Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...