Angelos Lakrintis’ Post

Renesas Electronics, a leading semiconductor company, recently introduced a groundbreaking AI accelerator designed for real-time processing of lightweight algorithms in robots. The company showcased this cutting-edge technology at the prestigious International Solid-State Circuits Conference held in San Francisco. The AI accelerator developed by Renesas is specifically tailored to meet the demands of modern robots. It combines conventional processing capabilities for planning and control with AI processing power of approximately 100Top/s peak for vision-based environmental recognition. Remarkably, the accelerator achieves this high performance while maintaining low power dissipation, eliminating the need for additional cooling mechanisms such as a fan. The power consumption of the 14nm integrated circuit stands at around 5W. #electricalengineering #electronics #embedded #embeddedsystems #electrical Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory

Time to revisit the meme robotics style 🤖 Foundation models will completely change the way robots are programmed and enable new applications 🚀 In this short clip (https://lnkd.in/ekG57irF), we combine #FoundationPose (https://lnkd.in/e_XprTuv), that tracks the pose of an object from a mesh, and #SegmentAnything (https://lnkd.in/eyyn3vEh), that extracts the mesh of an object from a picture. The result, a seamless pipeline to track the pose of any object from a single camera. We can prompt it to track a banana and it would do it, no re-training nor re-programming required. Shoutout to Yehya El Hassan for making that integration in #Studio from AICA SA. And in two weeks as a side project on top of that! Yet, deploying such models in industrial applications is challenging... First, they are GPU based. And GPUs have still to reach production environments. Siemens and Bosch Rexroth are working on that with their new industrial computers (IPC). Second, integration of different models and communication with real hardware is cumbersome. But not with Studio from AICA SA! The real-time robot control is the cherry on the cake 🍰 Finally, the promise to track any object falls short in industrial cases. Prompt it to track a specific gear or screw and it will most likely fail. Why that? Because those models are not trained on industrial data, as those data are not publicly available to keep production secrets. This will be the real challenge to overcome for meaningful industrial deployment. In the meantime, we will keep pushing the integration of those new technologies at AICA SA. If NVIDIA or Meta are open for collaboration on those topics I am always happy to discuss 😅 #AI #robotics #innovation

Big things are happening! 🎉 We’re thrilled to introduce our latest Industrial Robot Platform—Motoman NEXT. Powered by cutting-edge AI and with machine learning capabilities Motoman NEXT is designed for precision, flexibility, and efficiency. This platform is engineered to transform your automation processes from the ground up! With advanced features that include: - Human-like decision-making - Open development environment for advanced programming - Seamless integration of sensor inputs for adaptability on complex tasks And we’re proud to announce our cooperation with NVIDIA, bringing the power of AI to new heights with GPU acceleration and advanced computing. Together, we’re unlocking new levels of performance and innovation in industrial robotics! 🌟 Ready to elevate your operations? Stay tuned for updates during IMTS! #yaskawa #MotomanNEXT #robotics #NVIDIA #automation

🏭 The industrial digitalization landscape is evolving as major electronics manufacturers integrate NVIDIA AI and NVIDIA Omniverse into their operations... Key Highlights: 🔹NVIDIA Omniverse: Companies like Delta Electronics and Foxconn are using this platform to create digital twins and autonomous systems. 🔹Enhanced Efficiency: Digital twins enable real-time simulation and optimization of factory layouts, boosting operational efficiencies. 🔹Cutting-edge Integration: Foxconn’s use of AI and digital twins to train robots exemplifies the transformative potential of this technology. 🗣️ "AI for manufacturing is here. Every factory is becoming more and more autonomous due to the transformational impact of generative AI and digital twin technologies." - Deepu Talla, VP of Robotics and Edge Computing at NVIDIA. Read more 👇 https://lnkd.in/es7Z-DQX #IndustrialDigitalization #AI #Manufacturing #DigitalTwins #NVIDIA #Omniverse

Every mobile robotics engineer knows about #ROS. For product development, the opensource framework is a super power that can be leveraged to dramatically reduce robot project build time. ROS removes the need to curate communication protocols (and often drivers) for a robot's constituent components, saving many of the hundreds of boiler-plate-coding hours that it takes to get a robotics project 'working'. Commercial governance and the extension of the ROS framework for scale enterprise use is achieved through joint initiatives including the ROS-Industrial consortium. The newly formed Open Source Robotics Alliance (OSRA)--founded by #NVIDIA, #Qualcomm, and #Intrinsic--will usher in a new era of governance. NVIDIA and Qualcomm are both depending on the framework as a means for developers to utilise (and optimise) their hardware. Championing ROS, ensuring that it is a dependable vehicle for the utilisation of high-resource chip sets, is the simplest way to keep the momentum of the incipient robotics boom building. https://lnkd.in/eSxY5YZ2

Vention, a Montreal-based company, has partnered with NVIDIA to bring industrial automation technology to small and medium-sized manufacturers through the use of AI and NVIDIA’s accelerated computing. Vention’s manufacturing automation platform is a cloud-based, AI-enabled solution that uses a proprietary dataset of robotic cell designs. By leveraging AI and NVIDIA’s accelerated computing, the goal is to advance cloud robotics. The collaboration aims to use AI to create nearly exact digital twins, making it easier for manufacturers to test their projects before investing. Several new products resulting from this collaboration are expected to be announced at Demo Day on September 10th in Chicago. Read more: https://lnkd.in/dw6bHVyp Source: Vention website #NVIDIA #IndustrialAutomation #AI #CloudRobotics #DigitalTwins #ManufacturingInnovation #DemoDay

Equipped with Intel processors, NODKA Automation Technology robot controllers provide a solid foundation for long-term operation of AI robots. Through OpenVino, users can easily deploy AI vision models or large language models on CPU/GPU/NPU. The modular design allows to choose different CPU configurations according to the computing power requirements on different types of robots. The compact design and various I/O options allows the users easy for peripheral. www.nodka.eu #embeddedsystems #ai #deeplearning #edgecomputing #robotics

GPUs and Robotics: GPUs have become indispensable tools in the training, development and deployment of robotics systems. They empower robotics companies to: ·       Accelerate development cycles  ·       Improve robot performance and reliability ·       Reduce costs associated with physical prototyping and testing ·       Create more intelligent and adaptable robots By harnessing the power of GPUs, robotics companies are pushing the boundaries of innovation and bringing us closer to a future where robots seamlessly integrate into our daily lives. However, the rapid growth of AI and machine learning, particularly in the realm of robotics, continues to create a significant strain on data centre capacity and power infrastructure. As the demand for high-performance computing, especially GPU-accelerated workloads, surges, data centres face challenges in securing sufficient power and cooling to meet the needs of these energy-intensive systems. This scarcity of resources can hinder the development and deployment of AI-powered robots, as companies struggle to find suitable data centres that can accommodate their computational requirements. CBRE is a leading global expert in AI-ready data centre capacity. Our dedicated AI team leverages unparalleled market and power availability data to accelerate your AI journey. Contact us today to learn how we can help you bring your AI-powered robots to market faster. #datacentres #ai #neocloud #robotics #capacity #dlc #liquidcooled #MW #gpus CBRE Global Workplace Solutions (GWS) CBRE UK CBRE Data Center Solutions #robots #ml #llm #power

Nvidia has officially entered into the realm of robotics with project GR00T ("Generalist Robot 00 Technology"), an initiative to create a general-purpose foundation model for humanoid robot learning. The idea is to enable robots to understand multimodal instructions, such as language, video, and demonstration, and perform a variety of useful tasks. To that end, it simulates robots in "Isaac Lab", which is a new app on Omniverse Isaac Sim for humanoid learning, train then on "OSMO - Orchestration System to Scale up Models", and deploy them to "Jetson Thor", which it is a new edge GPU chip designed to power GR00T. And as you can see from the video, Nvidia has partnered with leading robot manufacturers such as Unitree, Apptronik, Agility, etc. In fact, the next market for Nvidia GPUs are robots, a 52 trillion dollar market by some estimates

Nvidia and Semiconductors Stocks That Can Benefit From the coming AI Robotics Boom (11 min video) Nvidia stock and these other semiconductor chip stocks can benefit from the growth of AI robotics.  As robotics becomes an important aspect of future technology, semiconductor investors can benefit from this growing trend. 10 stocks that will benefit from AI Robotics covered in the video link below: 1.          Figure Robotics 2.          AMD 3.          Intel 4.          Qualcomm 5.          Nvidia 6.          Arm 7.          TSMC 8.          Tesla 9.          Texas Instruments 10.      On Semiconductor Corp https://lnkd.in/eqBmzmiR Credit: Jose Najarro Stocks with 38K subscribers For more on AI, robots, and Semicon, check out my blog: https://lnkd.in/eWESid86