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QACE Dynamics | VIBR Tech Preview 1 Introducing VIBR, the vision intelligence block that brings real perception to robots. In this first preview, we take a simple vacuum bot, connect it through the QACE dApp, and instantly give it object detection and smarter behavior without touching code. QACE makes...

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Qace Dynamics

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29,448 görüntüleme • 9 ay önce •via X (Twitter)

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QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.
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QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.

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12,654 görüntüleme • 7 ay önce

Qace Dynamics | End to End Autonomy Today we show the full workflow of how QACE brings autonomy to robots. Inside the dApp you can define inputs, outputs, and rules, then add modular AI blocks that map directly into reusable ROS2 nodes and DDS communication interfaces. The system interprets natural instructions through the NLP core, compiles them into abstract syntax trees, builds the directed execution graph, and generates the scripts automatically. The workflow is validated back in Gazebo where detections, temporal operators, and event triggers are applied in real time against the simulation runtime. From there the same pipeline can be containerized and deployed on QARC or directly on the robot with no additional coding or manual integration. This is how we replace fragmented pipelines and redundant middleware with one unified framework where high level intent is compiled into deterministic autonomy graphs.
2:07

Qace Dynamics | End to End Autonomy Today we show the full workflow of how QACE brings autonomy to robots. Inside the dApp you can define inputs, outputs, and rules, then add modular AI blocks that map directly into reusable ROS2 nodes and DDS communication interfaces. The system interprets natural instructions through the NLP core, compiles them into abstract syntax trees, builds the directed execution graph, and generates the scripts automatically. The workflow is validated back in Gazebo where detections, temporal operators, and event triggers are applied in real time against the simulation runtime. From there the same pipeline can be containerized and deployed on QARC or directly on the robot with no additional coding or manual integration. This is how we replace fragmented pipelines and redundant middleware with one unified framework where high level intent is compiled into deterministic autonomy graphs.

Qace Dynamics

53,180 görüntüleme • 8 ay önce

QACE Dynamics | Qognix Rule Engine Qognix is built on a library of modular AI blocks that can be reused across many applications. Each block has NLP built in, so it understands natural instructions and converts them into intents, rules, and actions. The blocks are organized as tiles for specific domains such as surveillance, navigation, manipulation, or voice, which makes it simple to assemble intelligence for any robot. Every block is simulation ready, so engineers can validate workflows inside the dApp or in Gazebo before deployment. Once tested, the same blocks run seamlessly on hardware through QARC or directly on the robot. This approach turns robotics AI into a system of reusable and composable parts. From perception to decisions, Qognix makes intent driven autonomy practical and scalable
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QACE Dynamics | Qognix Rule Engine Qognix is built on a library of modular AI blocks that can be reused across many applications. Each block has NLP built in, so it understands natural instructions and converts them into intents, rules, and actions. The blocks are organized as tiles for specific domains such as surveillance, navigation, manipulation, or voice, which makes it simple to assemble intelligence for any robot. Every block is simulation ready, so engineers can validate workflows inside the dApp or in Gazebo before deployment. Once tested, the same blocks run seamlessly on hardware through QARC or directly on the robot. This approach turns robotics AI into a system of reusable and composable parts. From perception to decisions, Qognix makes intent driven autonomy practical and scalable

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Computer vision can see what happened — agentic AI explains why it matters and what to do next. Here’s how teams are upgrading video analytics with vision language models: 🔍 Turn video into searchable intelligence 🧠 Add context and reasoning to system alerts ⚡ Summarize complex scenes and answer questions automatically Read the blog to see 3 real-world ways to bring agentic AI to computer vision →
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Computer vision can see what happened — agentic AI explains why it matters and what to do next. Here’s how teams are upgrading video analytics with vision language models: 🔍 Turn video into searchable intelligence 🧠 Add context and reasoning to system alerts ⚡ Summarize complex scenes and answer questions automatically Read the blog to see 3 real-world ways to bring agentic AI to computer vision →

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🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.
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🎤 Overheard at #CES2026: Physical AI is moving intelligence from the cloud into the real world, and AMD is powering that shift with a full portfolio that enables robots to sense, decide, and act in real time across industries like healthcare, agriculture, and manufacturing.

AMD

19,475 görüntüleme • 5 ay önce

Tom Hanks: "Eventually the World will have to many people in it" This is what the 'Global Elites' all believe - now they no, we are moving into an age, where Humans are expendable and can simply be replaced by robots and AI.
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Tom Hanks: "Eventually the World will have to many people in it" This is what the 'Global Elites' all believe - now they no, we are moving into an age, where Humans are expendable and can simply be replaced by robots and AI.

Concerned Citizen

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Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).
3:10

Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).

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The First AI-Generated Video That Looks Super Real Microsoft Research announced VASA-1. It takes a single portrait photo and speech audio and produces a hyper-realistic talking face video with precise lip-audio sync, lifelike facial behavior, and naturalistic head movements generated in real-time. This is amazing, given that the AI-generated video looks very real! Of course, these examples will likely be cherry-picked, but this is still amazing. My favorite use-case for this tech is to revive old actors like Cary Grant in new movies with this tech :)
0:57

The First AI-Generated Video That Looks Super Real Microsoft Research announced VASA-1. It takes a single portrait photo and speech audio and produces a hyper-realistic talking face video with precise lip-audio sync, lifelike facial behavior, and naturalistic head movements generated in real-time. This is amazing, given that the AI-generated video looks very real! Of course, these examples will likely be cherry-picked, but this is still amazing. My favorite use-case for this tech is to revive old actors like Cary Grant in new movies with this tech :)

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Real-time World Models are the next AI frontier. Today, we reactor are taking the first step towards this reality: our early preview lets you experience worlds generated in real-time, running on our global low-latency infrastructure. Try it now:
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Real-time World Models are the next AI frontier. Today, we reactor are taking the first step towards this reality: our early preview lets you experience worlds generated in real-time, running on our global low-latency infrastructure. Try it now:

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1:05

This is an exciting moment! AI-generated 3D models, AI auto-rigging, and AI motion capture—all powered by AI to complete the entire video production process. What once took two weeks can now be done in just five minutes. Rodin generated a 3D model of Patrick Star, automatically rigged it, and imported it into UE, where it was connected to CYAN AI motion capture. The future of content creation with AI-generated 3D models, environments, and animations holds incredible possibilities!

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Introducing Multiverse: the first AI-generated multiplayer game. Multiplayer was the missing piece in AI-generated worlds — now it’s here. Players can interact and shape a shared AI-simulated world, in real-time. Training and research cost < $1.5K. Run it on your own PC. We are open-sourcing everything: code, data, weights, architecture, and research. Here’s a closer look (and how it works!):

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Our AI engineer can now build simple agents using the English language! Tell it what to do, and it will try to generate, execute, and deploy code. AI has already replaced SQL. The next step is to replace Python. It's officially in its 3rd month of internship!!
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Our AI engineer can now build simple agents using the English language! Tell it what to do, and it will try to generate, execute, and deploy code. AI has already replaced SQL. The next step is to replace Python. It's officially in its 3rd month of internship!!

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0:45

Take any Python code and build a dynamic GUI on top of it by dragging and dropping components. Python is already the most popular language in the world. This makes it even better! The attached video is only 45 seconds. It will show you how it works. Here is the important part: You can now build an interface for your Python code without learning HTML, JavaScript, or CSS. Go to this link to try this: Remember to work smarter, not harder! Thanks to the team behind Taipy for partnering with me on this post.

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Australia needs to take advantage of AI before it takes advantage of us. This is quite the show. The progress in AI technology as demonstrated by these robots is both impressive and scary. Impressive as to how far AI technology has come, and scary in the sense of the potential job losses AI will bring. Australia really needs to get up to speed when it comes to manufacturing and technology skills. The sooner we up skill our workforce to ensure we are not beholden to foreign controlled AI the better.
1:16

Australia needs to take advantage of AI before it takes advantage of us. This is quite the show. The progress in AI technology as demonstrated by these robots is both impressive and scary. Impressive as to how far AI technology has come, and scary in the sense of the potential job losses AI will bring. Australia really needs to get up to speed when it comes to manufacturing and technology skills. The sooner we up skill our workforce to ensure we are not beholden to foreign controlled AI the better.

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12,644 görüntüleme • 3 ay önce

🚨 AI just crossed into reality. A single human eye reflects an entire AI-generated world — futuristic cities, robots, and digital landscapes forming in real time. We are no longer imagining the future. We are actively creating it. Made with AI video generation (Kling model) on Yapper “This is not the future. It’s now.”
0:53

🚨 AI just crossed into reality. A single human eye reflects an entire AI-generated world — futuristic cities, robots, and digital landscapes forming in real time. We are no longer imagining the future. We are actively creating it. Made with AI video generation (Kling model) on Yapper “This is not the future. It’s now.”

Mimu | AI Tools & News

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Still believe AI isn’t dangerous? It’s just a machine that can perform some parlor tricks? This seems pretty dang real to me and yet right now we know that it is AI. But very soon, none of us will. The tech billionaires know this and are leaning into it. It’s about control.
0:54

Still believe AI isn’t dangerous? It’s just a machine that can perform some parlor tricks? This seems pretty dang real to me and yet right now we know that it is AI. But very soon, none of us will. The tech billionaires know this and are leaning into it. It’s about control.

MAGA Cult Slayer🦅🇺🇸

1,939,953 görüntüleme • 5 ay önce

Tiff In Tech (600K+ on YouTube) just dropped a new video: Robots Are ‘Doomed to Succeed’ and That’s a Problem. Excited to see OpenMind featured in the conversation, highlighting the missing gaps in physical AI we solve: - Robot understanding of human intent - Building real social intelligence in robots - Operating systems that work across all robot manufacturers and form-factors Check out the full video below👇
2:08

Tiff In Tech (600K+ on YouTube) just dropped a new video: Robots Are ‘Doomed to Succeed’ and That’s a Problem. Excited to see OpenMind featured in the conversation, highlighting the missing gaps in physical AI we solve: - Robot understanding of human intent - Building real social intelligence in robots - Operating systems that work across all robot manufacturers and form-factors Check out the full video below👇

OpenMind

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If this is what we can already do with AI… how will the film industry evolve in the next few years? Our Creative Lab created “Panic at the District”, a fully AI-generated trailer with monsters, mayhem, and two kids surviving in late 80s Tokyo Workflow 👇🏼🧵
1:33

If this is what we can already do with AI… how will the film industry evolve in the next few years? Our Creative Lab created “Panic at the District”, a fully AI-generated trailer with monsters, mayhem, and two kids surviving in late 80s Tokyo Workflow 👇🏼🧵

Freepik

20,730 görüntüleme • 1 yıl önce

one of the biggest hurdles in computer vision is that the front end actually matters. you can’t just build models and call it a product. that’s why we’re building Manako. we see it as a “control plane” for visual intelligence. where data, policies, and operators meet. where vision stops being research and starts having real impact in the physical world. this is built for people running real systems. operators who can do 1,000x more when vision is packaged as a real ai product from a dev perspective, we’re already 2 months ahead of plan. now the focus is polish, usability, and connecting it directly into the subnet. build with vision.
5:26

one of the biggest hurdles in computer vision is that the front end actually matters. you can’t just build models and call it a product. that’s why we’re building Manako. we see it as a “control plane” for visual intelligence. where data, policies, and operators meet. where vision stops being research and starts having real impact in the physical world. this is built for people running real systems. operators who can do 1,000x more when vision is packaged as a real ai product from a dev perspective, we’re already 2 months ahead of plan. now the focus is polish, usability, and connecting it directly into the subnet. build with vision.

Max

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Watching Generalist AI demonstrate real-time intuition is incredible! 🤖✨ Check out this "Physical Commonsense" in action: the robot flips a washer, picks it up and then double-nudges it perfectly into a tight foam slot. This isn't a scripted motion; it’s an emergent behavior from a model trained on 270,000+ hours of real-world interaction. We are seeing the era where robots are starting to intuit and react to physics.
0:32

Watching Generalist AI demonstrate real-time intuition is incredible! 🤖✨ Check out this "Physical Commonsense" in action: the robot flips a washer, picks it up and then double-nudges it perfectly into a tight foam slot. This isn't a scripted motion; it’s an emergent behavior from a model trained on 270,000+ hours of real-world interaction. We are seeing the era where robots are starting to intuit and react to physics.

Humanoids daily

14,762 görüntüleme • 4 ay önce