Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

AI doesn’t transcend bias but amplifies Orientalist and Islamophobic power by presenting it as neutral knowledge ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

A study by Nadia Mansour offers one of the most detailed syntheses of this transformation, examining how emerging ...

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

A new research paper suggests that the real challenge in scaling AI in agriculture is not technological capability, but the lack of robust, integrated, and usable data systems. The study finds that ...

As a drug moves through research and regulatory processes, any mistakes in the data will be compounded. Small gaps that a ...

How can textile structures be developed more quickly, characterized precisely, and tailored to demanding applications – such as medicine, sports, mobility, or construction? The Fraunhofer Institute ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...