In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Pioneer turns language model development and fine-tuning from a months-long, expert-driven workflow into a single prompt and ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...