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Meet LingBot-World-Infinity: An Open Causal World Model With An Agentic Harness

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Robbyant, Ant Group’s embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a causal video generation model that behaves as an interactive world simulator. It is how the team attacks two failure modes: long-horizon drift and interactive latency. What is LingBot-World-Infinity? An interactive world model generates video frame by frame, conditioned on a stream of […]

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Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manipulation

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Ant Group’s Robbyant has released LingBot-VLA 2.0, a Vision-Language-Action (VLA) foundation model for robots. The release includes a technical report, an Apache-2.0 codebase, and a 6B checkpoint. The research team targets a well-known gap: VLA models often work in labs but stumble in deployment. LingBot-VLA 2.0 advances the prior version along three practical axes. These

Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manipulation Read More »

Multimodal Data for Humanoid Robots

Multimodal Data for Humanoid Robots: Vision, Language, Action, Telemetry, and Context

ai, AI (Artificial Intelligence), Artificial Intelligence, Multimodal AI, physical ai, Shaip Blogs

Ask a humanoid robot to “pick up the red mug on the left and place it in the sink,” and a remarkable amount has to happen at once. The robot must see the mug, parse the instruction, plan a motion, feel the grip pressure, and understand that “the sink” is the wet basin three feet

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NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks

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Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures by hand. Code-as-policy systems let language models compose these into executable robot programs. That makes robot behavior inspectable, editable, and debuggable. But existing robotic coding agents run in naive execution environments. They receive only coarse,

NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks Read More »

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Deploying retail AI to scale personalisation and customer insight

ai, AI (Artificial Intelligence), AI Business Strategy, AI Hardware & Chips, AI in Action, AI Market Trends, Analytics, Artificial Intelligence, automation, Computer vision, Data Engineering & MLOps, Deep Dives, edge computing, Features, infrastructure, Infrastructure & Hardware, Marketing AI, multimodal, Multimodal AI, Natural Language Processing (NLP), Open-Source & Democratised AI, Personalisation, physical ai, Reinforcement Learning, Retail, Retail & Logistics AI, Software, strategy, World of Work

Optimising retail AI infrastructure drives the successful deployment of personalisation systems and real-time customer insight. Leaders are replacing static customer interaction patterns with data pipelines capable of modifying the user environment during a live session. Static layouts and broad segmentation rules fail to satisfy modern conversion targets. Deployments demonstrate that traditional demographic categorisation generates insufficient

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Japan’s answer to its worker shortage: An AI model for 10 million robots

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Japan’s AI robots plan just went from a talking point to a formal national strategy. This week, the government confirmed the numbers everyone’s been quoting: 10 million AI-powered robots deployed across 18 industries by 2040, backed by public funding of up to one trillion yen, or roughly US$6.1 billion, over five years. The headline figure

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Computer vision deployments drive retail productivity gains

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, automation, Computer vision, Deep Dives, Features, How It Works, Infrastructure & Hardware, Inside AI, inventory control, physical ai, productivity, Retail, Retail & Logistics AI, shelf hardware, simbe robotics, store intelligence, World of Work

Computer vision deployments are driving retail productivity gains as operators automate physical shelf tracking to protect eroding margins. This hardware deployment directly addresses the persistent in-store execution failures currently costing the industry billions. A study authored by Coresight Research – in partnership with technology providers Simbe and RELEX Solutions – calculates the exact cost of

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Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation

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The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip, Qwen-RobotWorld, and Qwen-RobotNav. Each is built on a Qwen vision-language backbone and targets a different robotics problem. Qwen-RobotManip is a Vision-Language-Action model for manipulation, built on Qwen3.5-4B. Qwen-RobotWorld is a language-conditioned video world model with a 60-layer MMDiT and

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Here’s what Jeff Bezos’ new startup Prometheus will do

ai, AI (Artificial Intelligence), Artificial Intelligence, Funding, Jeff Bezos, physical ai, Project Prometheus, Prometheus, Startups, Vik Bajaj

In November, Jeff Bezos announced that he would become co-CEO of a new startup called Prometheus. At the time, the startup said it would focus on “physical AI”—an increasingly common term for applying the same deep learning principles behind large language models or generative AI to things like robotics and manufacturing—but specifics were scarce. Now,

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Here’s what Jeff Bezos’ new startup Prometheus will do

ai, AI (Artificial Intelligence), Artificial Intelligence, Funding, Jeff Bezos, physical ai, Project Prometheus, Prometheus, Startups, Vik Bajaj

In November, Jeff Bezos announced that he would become co-CEO of a new startup called Prometheus. At the time, the startup said it would focus on “physical AI”—an increasingly common term for applying the same deep learning principles behind large language models or generative AI to things like robotics and manufacturing—but specifics were scarce. Now,

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