Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

Mathematical models have long provided a robust framework for understanding the intricate processes underlying visual perception and neural processing. By combining principles from differential ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Recognizing faces is an ability one may consider elemental, but it involves complex and enigmatic neural processing. Understanding how the brain processes facial information of those close to us ...

A new study in Neuron reveals that the brain’s executive center sends highly specialized, context-dependent instructions to the visual system rather than a generic broadcast signal. The findings ...

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems. On a sunny day in late 1987, a Chevy van drove down a curvy wooded path on ...

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 ...

Introduction: The Shift from Recognition to Generation For the past decade, the narrative around Artificial Intelligence in image processing has focused primari ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...