Apple published a study investigating how its AI models can recognize not just what was said, but how it was said.

As meaning-makers, we use spoken or signed language to understand our experiences in the world around us. The emergence of ...

According to Hugging Face, advancements in robotics have been slow, despite the growth in the AI space. The company says that ...

Translated, a leading provider of AI-powered language solutions, today unveiled Lara V2, the latest evolution of its ...

Discover how 1-bit LLMs and extreme quantization are reshaping AI with smaller, faster, and more accessible models for ...

The last few years have seen a substantial shift in research focused on Large Language Models (LLMs), with steady advancements in the field. LLMs excel at ...

The context size problem in large language models is nearly solved. Here's why that brings up new questions about how we ...

These models have shown considerable promise in tasks such as promoter prediction, enhancer identification, and gene ...

Large language models (LLMs), when trained on extensive plant genomic data, can accurately predict gene functions and ...

By leveraging the structural parallels between genomic sequences and natural language, these AI-driven models can decode ...

A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

An attractive proposition for commercial enterprises and indie developers looking to build speech recognition and ...