Discover how context engineering transforms AI coding with structured inputs, reducing errors and enhancing scalability for ...

The small grooves on the surface of our brain may play a key role in our reasoning. A recent study reveals that their depth ...

Explore Gemini 2.5, Google’s groundbreaking AI update with multimodal learning, 1-million-token context, and real-world ...

This is the PyTorch implementation of the paper: BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C.H. Hoi. EMNLP 2020. (arXiv) ...

The study of gene functions requires high-quality DNA libraries. However, a large number of tests and screenings are necessary for compiling such libraries. We describe an algorithm for extracting as ...

In this paper, we analyze Luby transform (LT) and Raptor codes under inactivation decoding. A first-order analysis is introduced, which provides the expected number of inactivations for an LT code, as ...

But fundamentally, all Transformer-based AI models are pattern-matching marvels. They borrow reasoning patterns from examples in the training data that researchers use to create them.