Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

Brain activity during speech follows a layered timing pattern that matches large language model steps, showing how meaning builds gradually.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large ...

As someone who owns more than fifteen volumes from the MIT Press Essential Knowledge series, I approach each new release with both interest and caution: the series often delivers thoughtful, ...

Bottom line: Recent advancements in AI systems have significantly improved their ability to recognize and analyze complex images. However, a new paper reveals that many state-of-the-art visual ...

eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...