Autoregressive pre-training has proved to be revolutionary in machine learning, especially concerning sequential data processing. Predictive modeling of the following sequence elements has been highly ...

A growing dataset of English to Hmar and Hmar to English translations, compiled from various dictionaries, designed for linguistic research, language preservation, and natural language processing ...

Group activity recognition (GAR), which aims to identify activities performed collectively in videos, has gained significant ...

By conducting tests under an experimental scenario, a team of medical researchers and AI specialists at NYU Langone Health has demonstrated how easy it is to taint the data pool used to train LLMs.

As the new year gets underway, we thought it would be interesting to get AI’s take on what’s next for AI in 2025. We queried ...

Large Language Models (LLMs) have changed how we handle natural language processing. They can answer questions, write code, ...

Natural gas back at mid-$3 on modest storage build, impending data blackout By Investing.com - Oct 26, 2023 9 Investing.com - US natural gas futures jumped 3% on Thursday, returning to the mid-$3 ...

Want to bookmark your favourite articles and stories to read or reference later? Start your Independent Premium subscription today. From reproductive rights to climate change to Big Tech, The ...

Each dataset contains 2 year * 365 days * 24 hours * 4 times = 70,080 data point. Besides, we also provide the hourly-level variants for fast development (marked by h), i.e. ETT-small-h1 and ETT-small ...

Monitoring changes in Australia’s climate requires observational datasets that are not only good quality, but also homogeneous through time. A homogeneous climate record is one in which all observed ...