A new report demonstrates how small changes can significantly impact energy use, particularly in low-resource environments ...

More and more people are turning to large language models like ChatGPT for life advice and free therapy, as it is sometimes ...

For many years, the AI industry has focused on building larger language models (LLMs). This strategy delivered positive ...

An introduction to the open-source LMOS platform and its Kotlin-based Arc framework for building, deploying, and managing ...

Slator is the leading source of research and market intelligence for translation, localization, interpreting, and language AI ...

Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

In a move that could reshape how enterprises deploy AI, Japanese research lab Sakana AI has introduced TreeQuest, an ...

Apple has just released an AI model that, rather than generating code from left to right, does it out of order and all at once. Here's how.

End-to-end (E2E) models, including the attention-based encoder-decoder (AED) models, have achieved promising performance on the automatic speech recognition (ASR) task. However, the supervised ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Recent years, automatic speech recognition (ASR) tasks often use language models as an adjunct to ASR models. The density ratio approach (DRA) is one of several language model integration methods. It ...