This paper presents a method to estimate a transformer health condition based on diagnostic tests. A feed forward artificial neural network (FFANN) is used to find the health index of the transformer.

In a Roundtables event for MIT Technology Review subscribers, the author of Empire of AI explains how everyone has a stake in ...

RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network Abstract: Due to the rapid development of technology, social media has become more and more common in ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

Despite advanced AI technologies and real-time monitoring, tragedies like the Rath Yatra in Puri and previous stampedes underscore the urgent need for improved governance for public safety and higher ...

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces.

To improve upon these models, we propose AmesFormer, a graph transformer neural network that shows state-of-the-art performance when paired with our new Ames data set. We briefly review the current ...

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification Bo Yuan † Yudie Hu † Yan Liang † Yutong Zhu Lingyu Zhang ...