Mice actively seek better views to make visual decisions, virtual reality experiments show

Animals don't experience the world passively. A hawk tilts its head to track prey. A person leans forward to read a sign.
InfoWorld

Using Visual Studio Code’s ‘air-gapped’ AI model mode

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
Communications of the ACM

From Block-Based Programming to Vibe Coding

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

TIOBE Index for June 2026: Top 10 Most Popular Programming Languages

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...
IEEE

Visual-Linguistic Feature Alignment With Semantic and Kinematic Guidance for Referring Multi-Object Tracking

Abstract: Referring Multi-Object Tracking (RMOT) aims to dynamically track an arbitrary number of referred targets in a video sequence according to the language expression. Previous methods mainly ...
IEEE

Visual Evidence-aware for Object Hallucinations Rectification in LLM-based Video Captioning

Abstract: Recent neural models for video captioning are typically built using a framework that combines a pre-trained visual encoder with a large language model(LLM) decoder. However, large language ...
GitHub

WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation

[IROS'25] This repository is the official implementation of WMNav, a novel World Model-based Object Goal Navigation framework powered by Vision-Language Models. agent_cfg: ... vlm_cfg: model_cls: ...