Dataset distillation can be formulated as a bi-level meta-learning problem where the outer loop optimizes the meta-dataset and the inner loop trains a model on the distilled data. Meta-gradient ...

There's a growing market where AI developers can procure licensed content, like archive footage, for training from more ...

The economic breakthrough of DeepSeek's techniques will lead not only to an expansion of AI use but a continued arms race to ...

Discover natural tocotrienol-rich foods like annatto, palm oil, and rice bran oil, and learn simple ways to include them in ...

A Whipple procedure (pancreaticoduodenectomy) is a complex surgery involving several procedures during one operation. It is often performed to treat pancreatic cancer. It will take time for the ...

Unofficial PyTorch Implementation of Progressive Distillation for Fast Sampling of Diffusion Models. Distiller makes diffusion models more efficient at sampling time with progressive approach. An ...

Do you need distilled water to clean your coffeemaker? You don't need to run out to the store. Here's how to easily make it yourself at home.

Sealed and gas-purged decanter-centrifuge systems can be effective for separating Class I, Div. 1-, or Class I, Div. 2-rated solvents and hazardous materials Traditionally, solids and liquids have ...

Mixture-of-experts (MoE) is an architecture used in some AI and LLMs. DeepSeek garnered big headlines and uses MoE. Here are ...