Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...

In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no ...

Official implementation of "Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation". Paper preprint is coming soon. This implementation ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

AION-1 is a cutting-edge large omnimodal model specifically designed for astronomical surveys. It seamlessly integrates multiple data modalities, and enables simple adaptation to a wide range of ...

Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...

Except for Megan Fox, everything in the first three Transformers films was constant: the thrill, the emotions, and, of course, Optimus Prime. The movie continued the story with Sam Witwicky (Shia ...

IBM was early, you might argue too early, to AI. Now, CEO Arvind Krishna thinks big bets like Watsonx and quantum computing will start to pay off. is editor-in-chief of The Verge, host of the Decoder ...

Abstract: Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing ...