Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Tencent's Marvis Introduces Custom-Model Feature for Third-Party AI Integration
On September 1, Tencent launched a new feature for its AI assistant Marvis, allowing users to connect various third-party models such as Kimi and Zhipu GLM. This custom-model capability enables users to run local open-source models and sync them across devices, enhancing the functionality of Marvis. This development is significant as it expands the versatility of Tencent's Marvis, positioning it as a more flexible AI assistant in a competitive landscape. By integrating third-party models, Tencent aims to cater to diverse user needs and preferences, potentially increasing user engagement and satisfaction. Looking ahead, it will be important to monitor how users adopt this new feature and the impact it has on the overall performance of Marvis. No further timeline was disclosed at the time of publication.
NVIDIA Forms Partnerships to Mobilize Over $500 Billion for AI Compute Infrastructure Financing
NVIDIA has announced strategic partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create independent compute financing platforms. These platforms aim to mobilize over $500 billion in third-party capital to support the development of AI infrastructure, addressing the increasing demand from governments, enterprises, and startups. The significance of this initiative lies in its potential to transform AI infrastructure into a viable investment asset. NVIDIA's compute technology is designed to be flexible, widely adopted, and continuously improved, making it an attractive option for investors. The partnerships will enable the establishment of dedicated capital pools to facilitate the growth of AI factories across various industries. Looking ahead, the collaboration between NVIDIA and these financial institutions is expected to play a crucial role in the AI buildout, which requires substantial investment and skilled labor. No further timeline was disclosed at the time of publication.
Teledyne FLIR adds Emesent Hovermap to third-party payload programme
Teledyne FLIR Defense has announced the certification of Emesent’s Hovermap LiDAR payload for integration with its uncrewed aerial systems (UAS), ground robots, and radiation detection platforms. This development, which took place in October 2023, enhances the capabilities of Teledyne FLIR's technology by allowing for advanced mapping and navigation in various environments. The certification aims to improve operational efficiency and data collection accuracy in defense and industrial applications. By incorporating the Hovermap LiDAR payload, Teledyne FLIR Defense is positioned to offer more robust solutions for complex missions, leveraging Emesent's innovative technology to enhance situational awareness and safety.
News
Teledyne FLIR Defense Grows Third-Party Payload Integration Program, Adds Emesent Hovermap LiDAR for Unmanned Air, Ground, and Detection Platforms
A newly certified payload is set to enhance the capabilities of drones, robots, and radiation detection systems, facilitating faster deployment of mapping in environments where GPS signals are unavailable. This innovative technology aims to improve the efficiency of fused Chemical, Biological, Radiological, and Nuclear (CBRN) visualizations, which are critical for various applications, including emergency response and environmental monitoring. The certification, achieved in October 2023, underscores the growing importance of advanced technological solutions in navigating complex and hazardous situations. By integrating these systems, operators can obtain real-time data and insights, significantly improving situational awareness and decision-making in challenging scenarios.
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