Yihan Wang, Qian-Quan Sun. A long-range, recurrent neuronal network linking the emotion regions with the somatic motor cortex. Cell Reports, 2021; 36 (12): 109733 DOI: 10.1016/j.celrep.2021.109733 ...

Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building neural ...

Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, virtual assistant, speech-to-text or ...

Recurrent neural networks (RNN) are often used for natural language and other sequence processing, as are Long Short-Term Memory (LSTM) networks and attention-based neural networks.

We improve the latest published results with baseline BLEU scores using the state-of-the-art recurrent neural network approaches for translation. Additionally, we experiment with several morphological ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

1980s–’90s: Recurrent Neural Networks ChatGPT is a version of GPT-3, a large language model also developed by OpenAI. A large language model (or LLM) is a type of neural network that has been ...