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Reporting from CES 2026 LG Electronics has unveiled LG CLOiD, an AI-powered home robot, advancing its “Zero Labor Home” vision to automate chores. CLOiD features: • Wheeled base for safe navigation • Tilting torso • Two 7-DoF arms with 5-fingered hands for precise manipulation • Head as mobile AI...

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The Humanoid Hub

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82,570 次观看 • 6 个月前 •via X (Twitter)

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LG has unveiled the LG Cloid home robot at CES 2026 as part of its vision for a Zero Labor Home, where robots handle everyday household tasks. The robot can assist with cooking, laundry, and control smart home devices through LG ThinQ while using AI to understand and interact with its surroundings. LG also introduced its new Axium robotic actuator, aiming to make AI-powered homes more capable and reduce household work.
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LG has unveiled the LG Cloid home robot at CES 2026 as part of its vision for a Zero Labor Home, where robots handle everyday household tasks. The robot can assist with cooking, laundry, and control smart home devices through LG ThinQ while using AI to understand and interact with its surroundings. LG also introduced its new Axium robotic actuator, aiming to make AI-powered homes more capable and reduce household work.

Space and Technology

12,917 次观看 • 27 天前

Modern AI is confined to the digital world. At Skild AI, we are building towards AGI for the real world, unconstrained by robot type or task — a single, omni-bodied brain. Today, we are sharing our journey, starting with early milestones, with more to come in the weeks ahead. Our Mission: Artificial General Intelligence grounded in the physical world. We believe AGI that can truly understand and reason in the real world can only be built through grounding in the physical world. Our Vision: Any robot, Any task, One brain. We tackle robotics in its full generality – building a continually improving, omni-bodied brain that can control any hardware for any task. Who are we? A passionate group of scientists & engineers driven by our shared vision. We have been researching AI and robotics for more than a decade. Our team includes pioneers of self-supervised learning, curiosity-driven exploration, end-to-end sim2real for visual locomotion, dexterous manipulation, learning from human videos, robot parkour, and many more. Many of these works have won awards at top-tier AI and Robotics conferences. Our team has also built production-ready systems at Anduril, Tesla, Nvidia, Meta, Kitty Hawk, Google, Everyday Robotics, and Amazon. Join us in our mission to build the robot brains of tomorrow.
2:48

Modern AI is confined to the digital world. At Skild AI, we are building towards AGI for the real world, unconstrained by robot type or task — a single, omni-bodied brain. Today, we are sharing our journey, starting with early milestones, with more to come in the weeks ahead. Our Mission: Artificial General Intelligence grounded in the physical world. We believe AGI that can truly understand and reason in the real world can only be built through grounding in the physical world. Our Vision: Any robot, Any task, One brain. We tackle robotics in its full generality – building a continually improving, omni-bodied brain that can control any hardware for any task. Who are we? A passionate group of scientists & engineers driven by our shared vision. We have been researching AI and robotics for more than a decade. Our team includes pioneers of self-supervised learning, curiosity-driven exploration, end-to-end sim2real for visual locomotion, dexterous manipulation, learning from human videos, robot parkour, and many more. Many of these works have won awards at top-tier AI and Robotics conferences. Our team has also built production-ready systems at Anduril, Tesla, Nvidia, Meta, Kitty Hawk, Google, Everyday Robotics, and Amazon. Join us in our mission to build the robot brains of tomorrow.

Skild AI

382,738 次观看 • 1 年前

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.
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A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

CyberRobo

72,567 次观看 • 8 个月前

AgiBot Launches 'LinkCraft' Platform: Zero-Code Motion Creation for Humanoid Robots On October 24, 2025, AgiBot introduced its "LinkCraft" platform, a zero-code, zero-barrier system for creating humanoid robot content. The platform integrates AI motion capture, cloud-based imitation learning, and multimodal choreography capabilities. The core feature allows users to upload a video of human performance, and the platform automatically converts it into precise robot control strategies using AI vision and smart redirection—no programming required. This includes future support for finger-level fine manipulation. LinkCraft also features "Speech Choreography," which generates corresponding robot gestures and expressions based on semantic analysis of uploaded text or audio, offering customizable voice and emotion settings. For complex performances, the platform provides "storyline" tools, enabling users to combine multiple actions, voices, and expressions on a timeline, similar to video editing software. Furthermore, it supports multi-robot group control and access to an official library of over 180 actions for rapid content creation. The platform is currently adapted for the AgiBot X2 and aims to increase the accessibility and application scale of humanoid robots.
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AgiBot Launches 'LinkCraft' Platform: Zero-Code Motion Creation for Humanoid Robots On October 24, 2025, AgiBot introduced its "LinkCraft" platform, a zero-code, zero-barrier system for creating humanoid robot content. The platform integrates AI motion capture, cloud-based imitation learning, and multimodal choreography capabilities. The core feature allows users to upload a video of human performance, and the platform automatically converts it into precise robot control strategies using AI vision and smart redirection—no programming required. This includes future support for finger-level fine manipulation. LinkCraft also features "Speech Choreography," which generates corresponding robot gestures and expressions based on semantic analysis of uploaded text or audio, offering customizable voice and emotion settings. For complex performances, the platform provides "storyline" tools, enabling users to combine multiple actions, voices, and expressions on a timeline, similar to video editing software. Furthermore, it supports multi-robot group control and access to an official library of over 180 actions for rapid content creation. The platform is currently adapted for the AgiBot X2 and aims to increase the accessibility and application scale of humanoid robots.

RoboHub🤖

21,679 次观看 • 9 个月前

Svan M2: India's first commercial quadruped (4-legged) robot, designed and developed by IIT Kanpur incubated xTerra Robotics ✔️Mobility: Engineered for traversing uneven, unstructured environments like industrial sites and disaster zones. ▪️Design: 12-actuated degrees of freedom (DoF) with QDD A2 actuators. ▪️Payload & Weight: Weighs 11 kg and supports a ~5 kg payload. ▪️Speed: Capable of reaching speeds up to 1 m/s. ▪️Control: Features AI-powered navigation, mapping, and planning, with options for remote joystick control. ▪️Sensors & Connectivity: Equipped with an IMU, joint encoders, and built-in 2.4 GHz WiFi. ✔️Power: Powered by a 240 Wh Li-polymer battery.
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Svan M2: India's first commercial quadruped (4-legged) robot, designed and developed by IIT Kanpur incubated xTerra Robotics ✔️Mobility: Engineered for traversing uneven, unstructured environments like industrial sites and disaster zones. ▪️Design: 12-actuated degrees of freedom (DoF) with QDD A2 actuators. ▪️Payload & Weight: Weighs 11 kg and supports a ~5 kg payload. ▪️Speed: Capable of reaching speeds up to 1 m/s. ▪️Control: Features AI-powered navigation, mapping, and planning, with options for remote joystick control. ▪️Sensors & Connectivity: Equipped with an IMU, joint encoders, and built-in 2.4 GHz WiFi. ✔️Power: Powered by a 240 Wh Li-polymer battery.

Defence Decode®

25,405 次观看 • 5 个月前

The main robotics invention Amazon made to help automate 75% of its fulfilment center is called the Vulcan system. An AI-powered gripper has the “sense of touch”, which can handle 75% of Amazon’s 1 million unique items. The previous picking robots used machine vision and suction cups but couldn’t “feel” the items (they were built to handle packages and covered <60% of warehouse items). Per CNBC, the new Vulcan gripper uses sensors and generative AI to apply different force to different items (eg. soft on bag of candies vs. hard on textbook). It also uses AI for solving stacking puzzles to minimize wasted space in a box (like Tetris).
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The main robotics invention Amazon made to help automate 75% of its fulfilment center is called the Vulcan system. An AI-powered gripper has the “sense of touch”, which can handle 75% of Amazon’s 1 million unique items. The previous picking robots used machine vision and suction cups but couldn’t “feel” the items (they were built to handle packages and covered <60% of warehouse items). Per CNBC, the new Vulcan gripper uses sensors and generative AI to apply different force to different items (eg. soft on bag of candies vs. hard on textbook). It also uses AI for solving stacking puzzles to minimize wasted space in a box (like Tetris).

Trung Phan

350,308 次观看 • 9 个月前

Not the flashiest demos, but what’s under the hood represents a foundational shift for general-purpose robotics. World models are the next-gen foundation of Physical AI, not the VLM backbones found in typical VLAs. DreamZero is a 14B-parameter World Action Model (WAM) by NVIDIA that treats robotics as a joint video-and-action prediction task. Unlike traditional Vision-Language-Action (VLA) models that map images directly to motor commands, DreamZero leverages a pretrained video diffusion backbone to predict future world states and actions simultaneously. - achieves 2× better zero-shot generalization to unseen tasks and environments compared to state-of-the-art VLAs. - learns effectively from heterogeneous, non-repetitive data (500 hours), breaking the need for thousands of repeated demonstrations. - adapts to new robot embodiments with just 30 minutes of play data. - enables 7Hz closed-loop control via system optimizations and "DreamZero-Flash," making high-capacity diffusion models viable for real-time use.
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Not the flashiest demos, but what’s under the hood represents a foundational shift for general-purpose robotics. World models are the next-gen foundation of Physical AI, not the VLM backbones found in typical VLAs. DreamZero is a 14B-parameter World Action Model (WAM) by NVIDIA that treats robotics as a joint video-and-action prediction task. Unlike traditional Vision-Language-Action (VLA) models that map images directly to motor commands, DreamZero leverages a pretrained video diffusion backbone to predict future world states and actions simultaneously. - achieves 2× better zero-shot generalization to unseen tasks and environments compared to state-of-the-art VLAs. - learns effectively from heterogeneous, non-repetitive data (500 hours), breaking the need for thousands of repeated demonstrations. - adapts to new robot embodiments with just 30 minutes of play data. - enables 7Hz closed-loop control via system optimizations and "DreamZero-Flash," making high-capacity diffusion models viable for real-time use.

The Humanoid Hub

35,204 次观看 • 5 个月前

VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.
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VLAI Robotics Launches High-Dexterity Dual-Arm Robot Starting at ~$5,500 USD VLAI Robotics, utilizing the open-source design of Japan’s OpenArm team, has introduced a high-dexterity, low-cost bimanual robotic system. The product is priced from 39,900 RMB (approximately 5,500 USD), making high-level research tools accessible to institutions and developers. The robot features a human-scale, arm-hand integrated design with up to 16 DOF (8 DOF per arm, including the gripper). It can handle a dual-arm peak payload of 12 kg while maintaining high precision. A key breakthrough is its ability to replicate human upper limb movement trajectories, which enhances data quality for imitation learning and remote operation. VLAI Robotics handled the domestic engineering, manufacturing, and VLA (Vision-Language-Action) algorithm integration, with quality control organized according to the strict standards of the OpenArm R&D framework. The robot is highly adaptable for research, education, and Physical AI training, supporting easy expansion for features like VR teleoperation.

RoboHub🤖

12,961 次观看 • 9 个月前

RICE ROBOTICS TO LAUNCH A CUSTOM FLOKI AI-POWERED ROBOT AND THE $RICE TOKEN AI robotics startup RICE AI ( ◉ - ◉ ) will launch a custom Floki AI-powered companion robot. The AI-powered companion robot, named the FLOKI minibot M1, will be natively integrated with the RICE AI decentralized protocol. It can be your daily task assistant, helping with tasks that include reminding you of your grocery list, scheduling household activities, and searching online for information. It can also be your friend, adapting to your personality and building emotional connections through fun interactions such as telling bed time stories, giving friendship advice, and dancing with your favorite music. In addition, Rice AI will launch the $RICE token as the main utility token of the RICE AI decentralized protocol with support from Floki and TokenFi: - The $RICE token will launch mainly through TokenFi Launchpad, where $TOKEN stakers will be able to participate in the token sale event through TokenFi Launchpad. - FLOKI minibot M1 users will earn $RICE tokens by using and engaging with their Floki minibot M1–transforming everyday interactions into valuable robotics training data. - Floki and TokenFi users will be airdropped a portion of the $RICE token supply simply by holding and staking their tokens. We will be announcing more details about the $RICE token and how $FLOKI and $TOKEN holders can participate soon. Stay tuned for more information! Rice Robotics, the company behind RICE AI, is one of the most promising AI robotics startups, with high-profile clients and partners that include Nvidia, Softbank, Dubai Future Foundation, Mitsui Fudosan, NTT Japan, and 7-Eleven. - Softbank, which leads the $500 billion Stargate initiative recently introduced by President Trump to grow artificial intelligence infrastructure in the United States, is one of Rice Robotics' major customers, with RICE robots powering office delivery at SoftBank Headquarters. - RICE robots provide delivery services at Tokyo Midtown Yaesu for Mitsui Fudosan, one of the largest property developers in Japan. - RICE has integrated with the 7-Now mobile app and its robots are used by 7-Eleven Japan in scaling unmanned indoor delivery in Japan. - Rice Robotics is a partner of the Nvidia Inception Program. Check out what Floki Minibot M1 can do in this video 👇
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RICE ROBOTICS TO LAUNCH A CUSTOM FLOKI AI-POWERED ROBOT AND THE $RICE TOKEN AI robotics startup RICE AI ( ◉ - ◉ ) will launch a custom Floki AI-powered companion robot. The AI-powered companion robot, named the FLOKI minibot M1, will be natively integrated with the RICE AI decentralized protocol. It can be your daily task assistant, helping with tasks that include reminding you of your grocery list, scheduling household activities, and searching online for information. It can also be your friend, adapting to your personality and building emotional connections through fun interactions such as telling bed time stories, giving friendship advice, and dancing with your favorite music. In addition, Rice AI will launch the $RICE token as the main utility token of the RICE AI decentralized protocol with support from Floki and TokenFi: - The $RICE token will launch mainly through TokenFi Launchpad, where $TOKEN stakers will be able to participate in the token sale event through TokenFi Launchpad. - FLOKI minibot M1 users will earn $RICE tokens by using and engaging with their Floki minibot M1–transforming everyday interactions into valuable robotics training data. - Floki and TokenFi users will be airdropped a portion of the $RICE token supply simply by holding and staking their tokens. We will be announcing more details about the $RICE token and how $FLOKI and $TOKEN holders can participate soon. Stay tuned for more information! Rice Robotics, the company behind RICE AI, is one of the most promising AI robotics startups, with high-profile clients and partners that include Nvidia, Softbank, Dubai Future Foundation, Mitsui Fudosan, NTT Japan, and 7-Eleven. - Softbank, which leads the $500 billion Stargate initiative recently introduced by President Trump to grow artificial intelligence infrastructure in the United States, is one of Rice Robotics' major customers, with RICE robots powering office delivery at SoftBank Headquarters. - RICE robots provide delivery services at Tokyo Midtown Yaesu for Mitsui Fudosan, one of the largest property developers in Japan. - RICE has integrated with the 7-Now mobile app and its robots are used by 7-Eleven Japan in scaling unmanned indoor delivery in Japan. - Rice Robotics is a partner of the Nvidia Inception Program. Check out what Floki Minibot M1 can do in this video 👇

FLOKI

721,462 次观看 • 1 年前

Nomagic secures $44M to expand AI-Powered robotic arms! 🇵🇱 Polish robotics startup Nomagic has raised $44 million in Series B funding to improve its AI-powered robotic arms and expand into North America. The European Bank for Reconstruction and Development (EBRD) led the round, which included participation from Khosla Ventures, Almaz Capital, and the European Investment Bank (EIB). Unlike many robotics firms, Nomagic focuses on software. It uses computer vision and machine learning to train robotic arms to handle a variety of objects with greater efficiency and adaptability. The company relies on off-the-shelf hardware like the arms you can see in the video from ABB Robotics, making its solutions more flexible and scalable. Nomagic's annual recurring revenue has grown by 220% over the past year, and another 200% is expected in 2025. So cool to see a Polish company succeed in the robotics space!
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Nomagic secures $44M to expand AI-Powered robotic arms! 🇵🇱 Polish robotics startup Nomagic has raised $44 million in Series B funding to improve its AI-powered robotic arms and expand into North America. The European Bank for Reconstruction and Development (EBRD) led the round, which included participation from Khosla Ventures, Almaz Capital, and the European Investment Bank (EIB). Unlike many robotics firms, Nomagic focuses on software. It uses computer vision and machine learning to train robotic arms to handle a variety of objects with greater efficiency and adaptability. The company relies on off-the-shelf hardware like the arms you can see in the video from ABB Robotics, making its solutions more flexible and scalable. Nomagic's annual recurring revenue has grown by 220% over the past year, and another 200% is expected in 2025. So cool to see a Polish company succeed in the robotics space!

Lukas Ziegler

16,643 次观看 • 1 年前

An AI that animates narratives with Hollywood-level emotion? Kling AI is pushing generative technology to new limits. 🎞️"Loading..." — the first-ever fully AI-generated short-form film series, powered by Kling AI. It’s more than content—it’s a glimpse of AI storytelling 2.0, setting a New Benchmark for AI-Generated Content. The project, which held its Beijing premiere, positions itself as a groundbreaking entry into AI-driven narrative content. The series features seven standalone episodes, spanning genres from sci-fi and historical fiction to fantasy and surreal humor. Notable episodes include Martin Syndrome depicting profound paternal love, The Galatic Gut a satire on "progress" and more. Think Love, Death & Robots, but no human camera crew. On JULY 3rd! AI cinema isn’t coming—it’s here 👉 #klingai #loading Kling AI
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An AI that animates narratives with Hollywood-level emotion? Kling AI is pushing generative technology to new limits. 🎞️"Loading..." — the first-ever fully AI-generated short-form film series, powered by Kling AI. It’s more than content—it’s a glimpse of AI storytelling 2.0, setting a New Benchmark for AI-Generated Content. The project, which held its Beijing premiere, positions itself as a groundbreaking entry into AI-driven narrative content. The series features seven standalone episodes, spanning genres from sci-fi and historical fiction to fantasy and surreal humor. Notable episodes include Martin Syndrome depicting profound paternal love, The Galatic Gut a satire on "progress" and more. Think Love, Death & Robots, but no human camera crew. On JULY 3rd! AI cinema isn’t coming—it’s here 👉 #klingai #loading Kling AI

Atul Kumar

1,264,121 次观看 • 1 年前

How is an open ecosystem powering the next generation of AI for developers? Recording live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. Together they unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models. This relentless pace of hardware and software innovation is reshaping the AI landscape. Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications. 00:00 Live from AMD's Advancing AI 2025 Event 00:30 Introduction to Anush Elangovan 01:38 The MI350 GPU Series Unveiled 04:57 CDNA4 Architecture Explained 07:00 The Future of AI Infrastructure 08:32 AMD's Developer Cloud and ROCm 7 11:50 Cultural Shift at AMD 14:48 Open Source and Community Contributions 18:35 Software Longevity and Ecosystem Strategy 22:19 AI Agents and Performance Gains 27:36 AI's Role in Solving Power Challenges 28:11 Thanking Anush 28:42 Introduction to Sharon Zhou 29:45 Sharon's Focus at AMD 30:39 Engaging Developers with AMD's AI Tools 31:24 Listening to the AI Community 33:56 Open Source and AI Development 45:04 Future of AI and Self-Improving Models 48:04 Final Thoughts and Farewell
49:13

How is an open ecosystem powering the next generation of AI for developers? Recording live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. Together they unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models. This relentless pace of hardware and software innovation is reshaping the AI landscape. Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications. 00:00 Live from AMD's Advancing AI 2025 Event 00:30 Introduction to Anush Elangovan 01:38 The MI350 GPU Series Unveiled 04:57 CDNA4 Architecture Explained 07:00 The Future of AI Infrastructure 08:32 AMD's Developer Cloud and ROCm 7 11:50 Cultural Shift at AMD 14:48 Open Source and Community Contributions 18:35 Software Longevity and Ecosystem Strategy 22:19 AI Agents and Performance Gains 27:36 AI's Role in Solving Power Challenges 28:11 Thanking Anush 28:42 Introduction to Sharon Zhou 29:45 Sharon's Focus at AMD 30:39 Engaging Developers with AMD's AI Tools 31:24 Listening to the AI Community 33:56 Open Source and AI Development 45:04 Future of AI and Self-Improving Models 48:04 Final Thoughts and Farewell

Galileo

37,186 次观看 • 1 年前

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic
1:10

Strategy is proud to announce a strategic partnership with marking an important milestone in their AI journey. Strategy makes AI reliable on enterprise data, and is committed to helping organizations transform data into actionable insights and make faster, more informed decisions. Through this collaboration, we are enabling to further leverage data as a strategic asset across their organization, powered by Strategy Mosaic, our Universal Semantic Layer that gives AI the business context it needs to produce consistent, governed results. This partnership aligns with long-term vision of embedding AI and data-driven decision-making into every aspect of their business. By enhancing their analytical capabilities with Strategy, we are helping to build a stronger foundation for innovation, operational excellence, and customer value. As continues its AI-first journey, Strategy is proud to play a role in supporting their growth and shaping the future of their organization. #AI #SemanticLayer #InsuranceTech #StrategyMosaic

Strategy

54,782 次观看 • 12 天前

The World Model as NEO's Cognitive Core 1X has revealed a major AI development where the NEO humanoid can translate any natural language prompt into robotic action. It demonstrates this capability even for novel tasks, objects, and environments not found in its robot dataset. - the 1X World Model is trained on internet-scale human interaction videos and fine-tuned with robot data to ground its understanding in physics and in NEO's embodiment - from a simple voice or text prompt, the world model generates a visualization of future actions - a built-in inverse dynamics model then translates these into precise motor movements for NEO
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The World Model as NEO's Cognitive Core 1X has revealed a major AI development where the NEO humanoid can translate any natural language prompt into robotic action. It demonstrates this capability even for novel tasks, objects, and environments not found in its robot dataset. - the 1X World Model is trained on internet-scale human interaction videos and fine-tuned with robot data to ground its understanding in physics and in NEO's embodiment - from a simple voice or text prompt, the world model generates a visualization of future actions - a built-in inverse dynamics model then translates these into precise motor movements for NEO

The Humanoid Hub

68,453 次观看 • 6 个月前

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future
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✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

@levelsio

428,893 次观看 • 10 个月前

Touch: A Game-Changer in Dexterity for Robots You can’t be responsive to the world if you can’t feel it. That’s true for people—and it's just as true for robots. We’re zeroed in on a practical, yet innovative, approach to creating general purpose robots designed to perform physical work. And that means hands, powered not just by vision, but by touch. Vision alone falls short. There are many instances where our vision is obstructed while performing work tasks–like grabbing items out of a bin–you lose line of sight. You need tactile intelligence—texture, pressure, contact—with real-time feedback to move faster, smarter, and with confidence. Watch a full explainer video on Sanctuary AI’s latest touch sensors on our blog: #Robotics #AI #HumanoidRobots #Dexterity #TactileSensing #SanctuaryAI
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Touch: A Game-Changer in Dexterity for Robots You can’t be responsive to the world if you can’t feel it. That’s true for people—and it's just as true for robots. We’re zeroed in on a practical, yet innovative, approach to creating general purpose robots designed to perform physical work. And that means hands, powered not just by vision, but by touch. Vision alone falls short. There are many instances where our vision is obstructed while performing work tasks–like grabbing items out of a bin–you lose line of sight. You need tactile intelligence—texture, pressure, contact—with real-time feedback to move faster, smarter, and with confidence. Watch a full explainer video on Sanctuary AI’s latest touch sensors on our blog: #Robotics #AI #HumanoidRobots #Dexterity #TactileSensing #SanctuaryAI

Sanctuary AI

53,217 次观看 • 1 年前

NEWS: Meta has officially unveiled its $799 Meta Ray-Ban Display AI glasses. • Color 600-by-600-pixel resolution • 20-degree field of view • 5,000 nits of max brightness • 2% light leakage, making it hard for other people to see that there is a display • Gesture control with an EMG wristband that translates the signals created by your muscle activity into commands for your glasses • Comes with transition lenses, and the brightness adjusts depending on ambient UV light • Monocular: display only appears in the one lens • Microphones, speakers, cameras Meta: "The display is placed off to the side, so it doesn’t obstruct your view. And it isn’t on all the time — it’s designed for short interactions that you’re always in control of. This isn’t about strapping a phone to your face. It’s about helping you quickly accomplish some of your everyday tasks without breaking your flow. It’s the first product that takes microphones, speakers, cameras, and a full-color display backed with compute and AI — and puts it all together in a single device that’s stylish and comfortable." Hits U.S. shelves Sept 30th. Expansion to Canada, France, Italy, and the UK is planned for early 2026.
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NEWS: Meta has officially unveiled its $799 Meta Ray-Ban Display AI glasses. • Color 600-by-600-pixel resolution • 20-degree field of view • 5,000 nits of max brightness • 2% light leakage, making it hard for other people to see that there is a display • Gesture control with an EMG wristband that translates the signals created by your muscle activity into commands for your glasses • Comes with transition lenses, and the brightness adjusts depending on ambient UV light • Monocular: display only appears in the one lens • Microphones, speakers, cameras Meta: "The display is placed off to the side, so it doesn’t obstruct your view. And it isn’t on all the time — it’s designed for short interactions that you’re always in control of. This isn’t about strapping a phone to your face. It’s about helping you quickly accomplish some of your everyday tasks without breaking your flow. It’s the first product that takes microphones, speakers, cameras, and a full-color display backed with compute and AI — and puts it all together in a single device that’s stylish and comfortable." Hits U.S. shelves Sept 30th. Expansion to Canada, France, Italy, and the UK is planned for early 2026.

Sawyer Merritt

1,841,136 次观看 • 10 个月前

Open-Source Robotic Hand That Costs Just $300. California-based company TetherIA.ai has officially launched its open-source robotic hand, the Aero Hand Open. Designed to be the most capable at the lowest cost, this hand is a new tool for embodied AI research. In the clip, it demonstrates impressive dexterity by grasping an M5 screw, picking up an iPhone, and opening a soda can. Key Features: ► Price: $314.00 ► Open Source: CAD, electronics, and firmware are all open source. ► Actuation: 7 Active Degrees of Freedom (16 joints) with a tendon-driven design. ► Weight: Under 400 grams. ► Purpose: Built for embodied AI research to make dexterous manipulation accessible to all. For more details and to purchase:
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Open-Source Robotic Hand That Costs Just $300. California-based company TetherIA.ai has officially launched its open-source robotic hand, the Aero Hand Open. Designed to be the most capable at the lowest cost, this hand is a new tool for embodied AI research. In the clip, it demonstrates impressive dexterity by grasping an M5 screw, picking up an iPhone, and opening a soda can. Key Features: ► Price: $314.00 ► Open Source: CAD, electronics, and firmware are all open source. ► Actuation: 7 Active Degrees of Freedom (16 joints) with a tendon-driven design. ► Weight: Under 400 grams. ► Purpose: Built for embodied AI research to make dexterous manipulation accessible to all. For more details and to purchase:

RoboHub🤖

45,830 次观看 • 10 个月前

I use AI constantly. My 4 and 6 year olds even attend an AI-focused school. I am intensely optimistic about our AI future. But one thing I will fight to protect and never let AI automate: human autonomy. AI risks becoming the "autocomplete for life"—telling you the next action, job, relationship, identity. We who are living through this AI transition will be tempted, in a way that is unprecedented in human history, to let machines substitute for our self-direction. Most cognitive offloading is a genuine human triumph: writing reduced memory demands, mechanical calculation relieved us from arithmetic computation, and GPS navigation eliminated spatial reasoning from wayfinding. Each freed cognitive capacity for higher-order thinking. As Alfred North Whitehead observed, civilization advances by “extending the number of important operations which we can perform without thinking about them.” But as AI systems enter the realm of deliberation itself, something fundamentally different happens. Instead of freeing cognitive capacity for higher-order thinking, AI risks doing the choosing for us. Each small delegation of choice will seem harmless, even natural. But together, the micro-abdications of judgment could habituate you–choice by choice, day by day–to passivity and dependence. It could erode your ability to choose for yourself, from matters as trivial as what to have for breakfast, to fundamental choices about how to live well. Thankfully, AI can clearly do the opposite as well: By making learning more efficient AI can free time for self-directed exploration; as a Socratic interlocutor, it can strengthen your capacity to deliberate; through the right kind of personalization, it can help you discover and develop your unique gifts, and to use them to live autonomously and well. Let us choose to build for human autonomy...while we still remember what it means to choose. Full video with Johnathan Bi:
2:08:01

I use AI constantly. My 4 and 6 year olds even attend an AI-focused school. I am intensely optimistic about our AI future. But one thing I will fight to protect and never let AI automate: human autonomy. AI risks becoming the "autocomplete for life"—telling you the next action, job, relationship, identity. We who are living through this AI transition will be tempted, in a way that is unprecedented in human history, to let machines substitute for our self-direction. Most cognitive offloading is a genuine human triumph: writing reduced memory demands, mechanical calculation relieved us from arithmetic computation, and GPS navigation eliminated spatial reasoning from wayfinding. Each freed cognitive capacity for higher-order thinking. As Alfred North Whitehead observed, civilization advances by “extending the number of important operations which we can perform without thinking about them.” But as AI systems enter the realm of deliberation itself, something fundamentally different happens. Instead of freeing cognitive capacity for higher-order thinking, AI risks doing the choosing for us. Each small delegation of choice will seem harmless, even natural. But together, the micro-abdications of judgment could habituate you–choice by choice, day by day–to passivity and dependence. It could erode your ability to choose for yourself, from matters as trivial as what to have for breakfast, to fundamental choices about how to live well. Thankfully, AI can clearly do the opposite as well: By making learning more efficient AI can free time for self-directed exploration; as a Socratic interlocutor, it can strengthen your capacity to deliberate; through the right kind of personalization, it can help you discover and develop your unique gifts, and to use them to live autonomously and well. Let us choose to build for human autonomy...while we still remember what it means to choose. Full video with Johnathan Bi:

Brendan McCord 🏛️ x 🤖

16,456 次观看 • 10 个月前