No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these …
Read more “AI benchmark helps robots plan and complete their chores in the real world”
Github | CivitAI Point this workflow at a directory of clips and it will automatically stitch them together, fixing awkward motion and transition artifacts. At each seam, VACE generates new frames guided by context on both sides, replacing the seam with motion that flows naturally between the clips. How many context frames and generated frames …
Read more “[Update] ComfyUI VACE Video Joiner v2.5 – Seamless loops, reduced RAM usage on assembly”
Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Texture More), a feed-forward framework that overcomes this resolution scaling barrier. By predicting compact Gaussian primitives coupled with …
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We tested Garmin’s GPS-enabled fitness trackers and found the perfect picks for casual hikers, backcountry skiers, and more.
New research confirms it: the creativity of artificial intelligence (AI) is a myth. Although current generative AI models may appear to be autonomous creative agents, analyzing their imaginative process step by step reveals that their creative abilities are not genuine. This is the conclusion of a new study published in Advanced Science and led by …
https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/ submitted by /u/pheonis2 [link] [comments]
Creating an AI agent for tasks like analyzing and processing documents autonomously used to require hours of near-endless configuration, code orchestration, and deployment battles.
State Space Models (SSMs) have become the leading alternative to Transformers for sequence modeling. Their primary advantage is efficiency in long-context and long-form generation, enabled by fixed-size memory and linear scaling of computational complexity. We begin this work by showing a simple theoretical result stating that SSMs cannot accurately solve any “truly long-form” generation problem …
Read more “To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models”
As developers build AI agents with more sophisticated reasoning systems, they require higher-quality fuel–in the form of enterprise data and specialized tools–to drive real business value. To get the most out of that octane-rich mix, we offer Google-managed model context protocol (MCP) servers: an engine purpose-built for AI agents to interact securely with Google and …
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A policy change announced by NeurIPS, the world’s leading AI research conference, drew widespread backlash from Chinese researchers this week and then was quickly reversed.