Frontiers

Linguistic Representations in Large Language Models for High-Impact Discourse: Structure, Pragmatics, and Reliability

Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...
Nature

How DeepMind's genome AI could help solve rare disease mysteries

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...
IEEE

A Deep Learning-Based Precipitation Nowcasting Model Fusing GNSS-PWV and Radar Echo Observations

Abstract: Nowcasting plays a critical role in disaster warning systems, and recent advancements in deep learning have shown great potential in improving the accuracy and timeliness of such predictions ...

AGI? GPUs? Learn the definitions of the most common AI terms to enter our vocabulary

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
IEEE

Redefining Deep Learning Across NLP, Image Classification and Beyond - Vision Transformers

Abstract: The self-attention technique was first used to develop transformers for natural language processing. The groundbreaking work “Attention Is All You Need” (2017) for Natural Language ...
GitHub

TesserAct: Learning 4D Embodied World Models

We propose TesserAct, the first open-source and generalized 4D World Model for robotics, which takes input images and text instructions to generate RGB, depth, and normal videos, reconstructing a 4D ...