Anthropic's new "J-lens" reveals a silent workspace inside Claude that mirrors a leading theory of consciousness

Anthropic’s new Claude research reveals a hidden internal “global workspace” that resembles human conscious processing, ...

We assume students see pictures in their minds as they learn. But not everyone can

Every day in class, students are encouraged to ‘visualise’, ‘imagine’ or ‘picture’ concepts in their minds. Some find this ...
The Tech Edvocate

Teaching Semantics to English Language Learners in Elementary School

Spread the love“`html Teaching semantics to English language learners (ELLs) in elementary school is a crucial component of ...
GitHub

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction (CVPR 2025)

[2025.3.6] [Update🔥] Please place any models that need to be compatible with pdrop in this issue [2025.2.27] 🚀 Our paper has been accepted by CVPR 2025!!! [2024.10.24] 🚀 Our paper has been featured ...

Visual map of 20,000 words reveals why lip-readers confuse common look-alikes

New research from the University of Kansas uses network science to determine why people make mistakes when lip-reading. Michael Vitevitch, professor of speech-language-hearing at KU, and his ...
IEEE

NVILA: Efficient Frontier Visual Language Models

Abstract: Visual language models (VLMs) have made significant advances in accuracy in recent years. However, their efficiency has received much less attention. This paper introduces NVILA, a family of ...
IEEE

Mitigating Object Hallucination in Large Vision-Language Models via Visual Attention Direct Preference Optimization

Abstract: Large Vision-Language Models (LVLMs) suffer from severe object hallucinations, leading them to frequently generate outputs that do not correspond to the image content, significantly reducing ...