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Website: https://us.caddi.com/
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Phone: +1 872-257-3965
223 W Jackson Blvd, Suite 1101
Chicago, IL 60606
CADDi Co., Ltd.
CADDi develops AI-driven manufacturing data platforms for procurement and supply chain optimization. Its system analyzes engineering drawings, historical quotations, and production data to enable cost benchmarking, supplier discovery, and data-driven sourcing decisions.
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
ChipMing Launches Advanced 3D Vision AI Modules at WAIC 2026 in Shanghai
On July 17, 2026, the World Artificial Intelligence Conference (WAIC) commenced in Shanghai, where ChipMing unveiled its series of 3D vision AI modules designed for embodied intelligence and physical AI scenarios. The modules demonstrated core functionalities such as pose estimation and instance segmentation using the self-developed spatial intelligent chip running YOLO26, alongside a 3D virtual safety zone application that integrates depth perception and AI recognition technologies. The significance of these modules lies in their ability to operate reliably in industrial environments, with a temperature range of -10℃ to 50℃. They support USB 3.0 and GMSL 2.0 protocols, ensuring high bandwidth and long-distance transmission capabilities. The built-in spatial intelligent chip allows for local processing of data, enhancing privacy and reliability by keeping sensitive information on-device, which is crucial for applications in security, healthcare, and industrial quality inspection. Looking ahead, the 3D virtual safety zone demo showcased at WAIC attracted considerable attention, highlighting the modules' capabilities in object classification and selective alarm systems. Users can choose from various module models based on specific use cases, ensuring ease of installation and strong feasibility for engineering applications. No further timeline was disclosed at the time of publication.
3D Vision AI Embodied Intelligence Industrial Automation AI Technology
Qingche Intelligent Showcases Comprehensive Data Systems and Robotics at WAIC 2026
From July 17 to 20, 2026, Qingche Intelligent participated in the World Artificial Intelligence Conference (WAIC) in Shanghai, focusing on bridging models and real-world intelligence. The company showcased a complete technology system from real-world data collection to model training and robotic applications, emphasizing the importance of real-world data for embodied intelligence. Qingche's RoboPocket system, a no-body robot data collection platform, allows users to gather data without direct interaction with robots, significantly lowering the barriers for data acquisition. The DM3 data management platform complements this by enabling visual retrieval, quality control, and data asset management, handling up to 10,000 data entries daily and accumulating substantial real-world data assets. The company also presented its new generation of embodied intelligence pre-training models, which do not rely on teleoperation data, demonstrating a viable path for model training using only field-collected data. Qingche's solutions have already been deployed in real-world scenarios, such as retail pharmacies and hotel laundry services, showcasing the practical applications of their technology and the continuous evolution of their data-driven model development.
Embodied Intelligence Data Management Robotics AI Applications
Biren Develops Next-Gen Optical Links for Enhanced AI Chip Connectivity
Biren, a Shanghai-based startup, is pioneering optical technology to connect thousands of AI accelerators into unified computing systems. As AI models grow increasingly complex, the demand for efficient interconnectivity among GPUs has intensified, with traditional copper connections reaching their limits. Biren's innovative near-packaged optics (NPO) architecture aims to support clusters of up to 1,024 AI accelerator cards, significantly enhancing computing capabilities. This advancement is crucial for AI infrastructure companies striving to meet the needs of models with trillions of parameters. Biren's approach addresses the scalability challenges faced by conventional server architectures, which typically cap at around 128 GPUs. By positioning optical fibers closer to chips, the company enhances bandwidth and data transmission efficiency, positioning itself against competitors like MetaX and Alibaba. Looking ahead, Biren is testing its NPO interconnect system while also developing an orthogonal hardware architecture in collaboration with ZTE. Although the semiconductor industry is still in the early stages of optical interconnect technology, widespread adoption is projected for around 2028, contingent on further advancements and real-world validation of these systems.
AI and Robotics
Nvidia and Hugging Face Enhance LeRobot with Advanced Open Robotics AI Tools
Nvidia and Hugging Face have expanded their partnership to introduce new AI models and robotics frameworks to the LeRobot platform, enhancing accessibility for developers. The integration of Nvidia Isaac GR00T 1.7, a vision-language-action foundation model, and the Isaac Teleop framework aims to streamline the development process for AI-powered robots. This collaboration is significant as it combines Nvidia's community of over three million robotics developers with Hugging Face's 16 million AI developers, fostering a broader access to physical AI technologies. The new tools will enable standardized workflows for data collection, model training, and performance evaluation, making it easier for developers to create and deploy robotic solutions. Looking ahead, the planned support for Nvidia Cosmos 3 will further empower developers by allowing the generation of synthetic data and simulation of environments. No further timeline was disclosed at the time of publication.
Artificial Intelligence Computing ai Hugging Face humanoid robots Isaac GR00T 1.7
Tencent Launches WorkBuddy App on HarmonyOS, iOS, and Android for Mobile AI Tasks
Tencent has launched the WorkBuddy agent desktop app across HarmonyOS, iOS, and Android, marking a significant step in mobile AI integration. This launch positions HarmonyOS as the first native agent application, facilitating seamless interaction between mobile devices and PCs for workplace AI tasks. The introduction of the WorkBuddy app is important as it bridges the gap between mobile and desktop environments, enhancing productivity and efficiency in workplace settings. By enabling AI-driven tasks on mobile platforms, Tencent aims to streamline workflows and improve user experience across devices. Looking ahead, the focus will be on how users adopt the WorkBuddy app and its impact on workplace productivity. No further timeline was disclosed at the time of publication.
Technology
RoboScience Unveils First Cloud-Based Large Model for Robotics at WAIC
At the WAIC, RoboScience showcased a groundbreaking cloud-based embodied large model named Visics, capable of controlling multiple robotic hands. This innovation allows for seamless switching between different robotic hands while maintaining operational efficiency, demonstrating the ability to recognize and grasp various objects autonomously within 30 seconds. The significance of this development lies in its potential to revolutionize robotic operations across diverse applications. By enabling a single model to adapt to various hand configurations, Visics enhances the versatility of robotic systems, allowing them to perform complex tasks without the need for extensive retraining when hardware changes occur. Looking ahead, the industry will be keen to observe how Visics performs in real-world scenarios and its ability to execute long-term tasks by integrating multiple actions. No further timeline was disclosed at the time of publication.
Robotics Cloud Computing AI Automation Object Recognition
Dahuang Technology Showcases Advanced AI Multimodal Capabilities at WAIC 2026
On July 17, 2026, the World Artificial Intelligence Conference (WAIC) commenced in Shanghai, focusing on the theme 'Intelligent Partners, Co-Creating the Future.' Dahuang Technology presented its AI multimodal capabilities, showcasing a comprehensive system that includes understanding, connecting, interacting, and controlling complex data. The demonstration highlighted the company's transition from video-centric solutions to a broader AI multimodal framework. Dahuang Technology's Sports AI system, based on the BlackEye multimodal spatial model, was a key feature, providing real-time analysis of sports events. This system can automatically label players, track movements, and generate slow-motion replays, demonstrating the AI's ability to comprehend complex video scenarios. The technology has already been validated in high-profile events like the 2026 World Cup and the Paris Olympics. The company also introduced its AI multimodal perception compression technology, achieving over tenfold compression efficiency while maintaining video quality. This capability is crucial for applications in drone inspections, remote communications, and robotic operations, addressing the growing demands for bandwidth and data transmission efficiency in various sectors. No further timeline was disclosed at the time of publication.
AI Multimodal Technology Video AI Data Compression Sports AI Human-AI Interaction
China's Embodied AI Models Gear Up for Competition Ahead of WAIC 2026
China's leading tech companies are intensifying their efforts in embodied AI as they prepare for the WAIC 2026 event in Shanghai, scheduled for July 17. This year's competition is marked by the launch of several advanced models, including Xiaomi's X0, a multimodal generative model with 38 billion parameters designed to enhance robotic training data generation. The significance of this competition lies in the critical need for physical interaction data, which is currently lacking by over 99%. Xiaomi's generative model aims to address this gap by autonomously generating and augmenting training data without the need for new data collection, thereby improving efficiency by 83 times. The event will showcase over 200 companies, highlighting the growing importance of embodied intelligence in the tech landscape. As the industry evolves, companies like Tencent Cloud and RoboScience are also making strides with cloud-based embodied AI services. The competition at WAIC 2026 will be pivotal, as companies vie for dominance in the emerging ecosystem of embodied intelligence, with advancements in visual understanding and cognitive reasoning being key areas of focus.
Embodied AI Robotics Data Synthesis Open Source Cognitive Computing
McLaren Construction Partners with FieldAI to Deploy Autonomous Robots Across UK Sites
McLaren Construction has formed a partnership with FieldAI to implement autonomous quadruped robots at its construction sites in the UK. These robots will initially be used for capturing 360° site imagery, generating point cloud data, and assisting with progress verification, safety compliance, and quality assurance. The capabilities of these robots will expand over time, enhancing their utility on-site. This partnership is significant as it marks FieldAI's entry into the UK market and builds upon its existing deployments across Europe, Asia, and North America. The use of AI-enabled deviation analysis will facilitate quicker identification of quality issues, ensuring better installation practices and reducing rework. McLaren aims to enhance project monitoring and compliance through this innovative technology. Looking ahead, McLaren Construction anticipates that the collaboration will yield valuable insights for broader robotic applications within the company. The deployment of FieldAI's Field Foundation Models will enable robots to adapt to complex environments without relying on pre-existing maps, thus enhancing operational efficiency. No further timeline was disclosed at the time of publication.
Construction News artificial intelligence Autonomous robots autonomous systems construction automation
Emesent Raises $17 Million to Enhance Cortex AI and Aura Cloud Software Development
Emesent, an autonomous mapping and robotics company, has secured $17 million in funding to advance its Cortex AI autonomy platform and expand its Aura cloud software. This funding includes a $7 million venture debt facility from the National Reconstruction Fund Corporation and a $10 million equity round supported by various investors. The investment is significant as it will enable Emesent to scale its manufacturing operations in Wacol, Queensland, Australia, and enhance its capabilities in sectors such as mining, defense, and architecture, engineering, and construction. CEO Charles Miller emphasized the importance of this funding in meeting the demands of clients operating in challenging environments. Looking ahead, Emesent plans to leverage this capital to deepen its presence in critical sectors and further develop its AI and autonomy technologies. No further timeline was disclosed at the time of publication.
Financials & Investments News AEC artificial intelligence aura Australian robotics
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