IEEE

Enhancing SEEG-Based Speech Decoding via Convolutional Encoder-Decoder and Scale-Recursive Reconstructor

Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the Transformer architecture. Learn how self-attention, parallelization, and Q/K/V ...
Neuroscience News

What an AI Birdsong Decoder Tells Us About the Human Brain

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.
IEEE

Analyzing Twitter Sentiment on Stock Using the Bidirectional Encoder Representations (BERT) Based on the Transformer Model

Abstract: This study explores sentiment analysis on Indonesian social media data related to stock investments, focused on GOTO stocks. Using the Knowledge Discovery in Database (KDD) methodology, data ...