Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

ABSTRACT: Objective: This study employs bibliometric analysis to examine the current state, popular topics, and trends in the application of the Behavior Change Wheel (BCW) within the medical field, ...

Abstract: Text is an integral but understudied component of visualization design. Although recent studies have examined how text elements (e.g., titles and annotations) influence comprehension, ...

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Reading a person’s mind using a recording of their brain activity sounds futuristic, but it’s now one step closer to reality. A new technique called ‘mind captioning’ generates descriptive sentences ...

Instead of using text tokens, the Chinese AI company is packing information into images. An AI model released by the Chinese AI company DeepSeek uses new techniques that could significantly improve AI ...

Can we render long texts as images and use a VLM to achieve 3–4× token compression, preserving accuracy while scaling a 128K context toward 1M-token workloads? A team of researchers from Zhipu AI ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...

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 ...

Medical visual-language alignment plays an important role in hospital diagnostic data analysis and patient health prediction. However, existing multimodal alignment models, such as CLIP, while ...