From Zelda’s creative problem-solving to mobile-friendly match-three hits, great puzzle and casual games balance simplicity with satisfying depth. The best designs hook players with intuitive ...

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 Maverick, its previous mid-size flagship.

Spatial reasoning is essential for solving complex tasks in dynamic and high-dimensional environments. However, current training models for spatial tasks are computationally demanding and heavily ...

This organization hosts the repositories for the project LLM Spatial Reasoning: Evaluating and Enhancing Geographic Cognition in Language Models. A core question in GeoAI is whether LLMs have ...

Abstract: Accurate spatial reasoning and risk assessment from monocular video on consumer electronics platforms are prerequisites for safe decision-making in autonomous vehicles, yet general-purpose ...

In this post, we will show you how to enable or disable Spatial Sound in Windows 11. Spatial Sound is an advanced audio feature that creates an immersive, 3D sound experience, without requiring ...

When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers ...

Vision-language models (VLMs) are essential to Embodied AI, enabling robots to perceive, reason, and act in complex environments. They also serve as the foundation for the recent ...

General Intuition PBC, a startup developing artificial intelligence models that can navigate three-dimensional environments, has raised $133.7 million in funding. TechCrunch reported today that Khosla ...

Medal, a platform for uploading and sharing video game clips, has spun out a new frontier AI research lab that’s using its trove of gaming videos to train and build foundation models and AI agents ...

Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this ...