Kumo, a leader in predictive AI, today announced its launch of KumoRFM-2, the first foundation model to outperform fully supervised machine learning on enterprise relational data. Built by the team ...

PyTorch is an open-source deep learning framework developed by Meta AI (formerly Facebook AI) and is now part of the Linux Foundation. This library was built on the Torch library, which is no longer ...

Abstract: Complex-valued neural networks (CVNN) have attracted increasing attention in recent years, although their definition dates back to the mid-20th century. Indeed, several domains naturally ...

Can symbolic regression be the key to transforming opaque deep learning models into interpretable, closed-form mathematical equations? or Say you have trained your deep learning model. It works. But ...

A unified PyTorch library providing easy access to state-of-the-art Linear RNN architectures for sequence modeling. The technical report of this system was accepted to EACL Student Research Workshop ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Student cognitive modeling is a fundamental task in the intelligence education field. It serves as the basis for various downstream applications, such as personalized educational content ...

Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become integral to many aspects of modern life. However, the vast amount of data they process is not ...

ABSTRACT: As the integration of Large Language Models (LLMs) into scientific R&D accelerates, the associated privacy risks become increasingly critical. Scientific NoSQL repositories, which often ...

Abstract: Vision Transformer (ViT) models which were recently introduced by the transformer architecture have shown to be very competitive and often become a popular alternative to Convolutional ...