The outstanding results achieved by large language models (LLMs) 1,2 and by their even more recent multi-modal variants 3, rely on attention-based neural architectures with several analogies to the ...

Visual working memory (VWM) is a critical cognitive function that allows for the temporary storage and manipulation of visual information. Understanding the neural mechanisms underlying VWM is ...

Generative AI and Recurrent Networks run on Q.ANT's Second-Generation Photonic Processor Complexity Model Graph Climbing the ...

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss sees it. A paper posted today on arXiv identifies this readout blind spot, ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Hypernym detection and discovery are fundamental tasks in natural language processing. The former task aims to identify all possible hypernyms of a given hyponym term, whereas the latter attempts to ...

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Few people have shaped modern artificial intelligence across as many dimensions as Andrej Karpathy, as a researcher, engineer and teacher. Over the past decade, he has been at the forefront of some of ...