New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

Duplicates of crystal structures are flooding databases, implicating repositories hosting organic, inorganic, and ...

Chinese AI startup’s release is a major update to its open-source model series, aimed at multi-language programming and ...

Despite its long history, optical character recognition (OCR) hasn’t evolved significantly since its inception.

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Pity the stockpicker. Today, choices abound; more investment vehicles, more markets, more signals. Whether acting alone or as part of a team, every investor faces the same task: sift through the noise ...

Based on the most recent statistics from the 2024 National Survey on Drug Use and Health, 48.4 million Americans (16.8%) aged 12 and older were diagnosed with a substance use disorder (SUD) in the ...

One of the most frustrating moments when using an AI language model is when it delivers a wrong answer with a confident tone. This is the so-called “AI hallucination” phenomenon. For a long time, scie ...