Small scalar autograd engine, inspired from Karpathy's micrograd, with some additional features, such as more activation functions, optimizers and loss criterions. Capable of MNIST classification.

As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Learn how advancements in Braille reader technology are empowering the visually impaired. Click to read the details!

Mixture-of-experts (MoE) is an architecture used in some AI and LLMs. DeepSeek garnered big headlines and uses MoE. Here are ...

Recent results show that large language models struggle with compositional tasks, suggesting a hard limit to their abilities.

Skin-inspired tactile sensor combines speed with accuracy, paving the way to improved accessibility for people with blindness ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Many of today's technologies, from digital assistants like Siri and ChatGPT to medical imaging and self-driving cars, are powered by machine learning. However, the neural networks—computer ...