Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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 ...

The debate about AI’s impact is not just about technology; it is also about the gap between how it works and how it appears ...

Ask a top-tier AI agent to summarize a legal brief or write a Python function, and it will usually deliver. Ask it to find ...

Every few months, a new AI model lands at the top of a leaderboard. Graphs shoot upward. Press releases circulate. And t ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

A hot potato: GitHub has announced that starting April 24, the company will begin using interaction data from Copilot Free, Pro, and Pro+ users to train and improve its AI models unless they opt out.

Background Runners frequently experience injuries, especially in the context of training for a marathon. Many runners collect training data through smartphone applications and GPS watches, but this ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Engineering is full of testing. Tests create a lot of data. Hopefully, we are able to make decisions with all of this effort. We certainly want to make the most of the data we collect. I heard once, ...