Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
VentureBeat

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
IEEE

Hybrid African Buffalo Optimization with Convolutional Neural Network for Unstructured Social Media Data Processing and Classification using NLP

Abstract: Real-time scenarios experience a continuous increase in data volume over time. The amount of data on social networking sites, such as Facebook and Twitter, has grew uncontrollably. The ...
Scientific Research Publishing

Research on Structural Damage Identification Method Based on Convolutional Neural Network ()

1 College of Finance and Commerce, Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 ...
GitHub

What are neural networks?

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
Scientific Research Publishing

Ouyang, L., Wu, J., Jiang, X., et al. (2022) Training Language Models to Follow Instructions with Human Feedback. arXiv: 2203.02155.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
IEEE

Neural Networks and NLP for Medical Imaging Report Generation: A Synergistic Approach

Abstract: This paper addresses the challenge of automatic medical imaging report generation and proposes an advanced technical solution leveraging deep neural networks and natural language processing ...
GitHub

Experiments on Variations of Neural Machine Translation System

Recurrent neural network based encoder-decoder without attention Recurrent neural network based encoder-decoder with attention Replace the recurrent encoder with either convolutional or self-attention ...