ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...

Anthropic PBC today opened access to Claude Opus 4.7, the latest addition to its popular line of large language models. The company says that the LLM is significantly better than its predecessor at ...

Former Google DeepMind researcher Andrew Dai believes that the artificial intelligence models at big labs have the intelligence of a 3-year-old kid, at least when it comes to making sense of visual ...

When a coding assistant starts looking like it’s cutting corners, developers notice. A senior director in AMD’s AI Group has publicly needled Anthropic’s Claude Code for what she calls a tendency to ...

The Sound Transit light rail has finally come to Mercer Island, but concerns about the infrastructure surrounding the city's stations are raising questions. Last week, the Crosslake Connection took ...

This page has been put together to help you practise and revisit some of the brilliant skills you’ve learned all through primary school. It’s a great way to boost your confidence in maths and get you ...

Abstract: Video question answering (VideoQA), a critical task in vision-language understanding and reasoning, encounters significant challenges in integrating visual concepts for compositional ...

Multimodal reasoning models (MRMs) trained with reinforcement learning with verifiable rewards (RLVR) show improved accuracy on visual reasoning benchmarks. However, we observe that accuracy gains ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: Medical visual question answering (Med-VQA) is a crucial multimodal task in clinical decision support and telemedicine. Recent methods fail to fully leverage domain-specific medical ...

This repository contains the training code for AVR, an adaptive visual reasoning framework for reducing overthinking in visual reasoning models. AVR decomposes visual reasoning into three cognitive ...

A single image fed to a video DiT activates only the spatial half of its attention, leaving its strongest prior — temporal/multi-view consistency — unused. So we never use single-frame DiT features.