👣 ANYmal's AI guarantees the robot's success on challenging terrains, providing 𝘂𝗻𝗺𝗮𝘁𝗰𝗵𝗲𝗱 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝘆 𝗮𝗻𝗱 𝗺𝗼𝗯𝗶𝗹𝗶𝘁𝘆 𝗳𝗼𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝗶𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻𝘀. 🔄 Optimization-based Approach: ANYmal adjusts its behavior dynamically in real-time, optimizing its movement strategies while navigating difficult environments. 🎮 Deep Reinforcement Learning: ANYmal undergoes offline learning in simulations, refining its movements by mastering millions of scenarios before facing real-world obstacles.
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Former high school English teacher 🍎 | Sr. Program Manager @ Microsoft 💻 | AI Advocate 📣 | Onboarding Leadership🌟| Efficiency Queen Bee from AZ 🏜️ | My patronus is a bookworm📚
Excited to share an insightful course on Artificial Intelligence! 🤖 Join me in exploring the foundations of Thinking Machines with "Artificial Intelligence Foundations: Thinking Machines": https://lnkd.in/d3PKi9Wk Instructor Doug Rose breaks down key concepts, from the history of AI to machine learning and technical approaches. Learn how AI impacts robotics, integrates with big data, and discover essential strategies to avoid common pitfalls.🧠💻 Eric Lynn fyi #AInerd #MachineLearning #TechInnovation #growthmindset
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The AI revolution is shaping our world in unprecedented ways, offering endless opportunities for those who embrace it. By learning the fundamentals of artificial intelligence, you can unleash your potential and become a leader in this brave new world. From machine learning to robotics, there are countless areas to explore and innovate. Embrace the AI revolution and be at the forefront of shaping the future. #AISuccessStories #WealthBuilding #DigitalEntrepreneurship #MakingMoneyWithAI #AIEntrepreneurship #AIWealthBuilding #DigitalMillionaires #AIInvestmentStrategies #FinancialSuccessWithAI #AIBusinessVentures #EarningMillionsWithAI #AIInnovationForProfit #WealthCreationDigitalAge #AITechInvestments #EntrepreneurialSuccessAI #AIFinancialTriumphs #StrategiesForAIWealthGeneration
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We can explore Hugging Face leRobot dataset just like we would for any other ML task. It seems reasonable to believe this will yield significant progress in robotic learning outcomes by sharing experiences from various robot, tasks and environments. https://lnkd.in/eZQBfraC
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We are Integrating our AVRIS.ai Server with our HEXA six-legged robot to seamlessly bridge virtual intelligence and physical mobility. This system adapts to its environment, processes images in real-time, and responds intuitively to human commands, interactions, communication and emotions. transforming the way we interact with robotics. checking the communication and interaction between my AVRIS AI model virtual assistant and the physical six-legged robot for automatic functionality and respond to AVRIS commands. This robot is fully connected to the AVRIS AI server for automatic functional, image processing, Deep learning and generative gait patterns from our AVRIS.ai server to adapt to terrain and environment.
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We are Integrating our AVRIS.ai Server with our HEXA six-legged robot to seamlessly bridge virtual intelligence and physical mobility. This system adapts to its environment, processes images in real-time, and responds intuitively to human commands, interactions, communication and emotions. transforming the way we interact with robotics. checking the communication and interaction between my AVRIS AI model virtual assistant and the physical six-legged robot for automatic functionality and respond to AVRIS commands. This robot is fully connected to the AVRIS AI server for automatic functional, image processing, Deep learning and generative gait patterns from our AVRIS.ai server to adapt to terrain and environment.
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When you combine Chat GPT with modern robotics you get this, meet Figure 01. The latest prototype from Figure AI. Having just completed their second round of funding at $675m their backers now include Microsoft, Nvidia and Intel. Using cameras to sense its environment Figure AI compares the images to its Large vision-language model for context. It can then engage in conversation using its natural language understanding. This is not remote control, it’s real. This was filmed at 1.0x speed and shot continuously. #ai #robotics #chatgpt
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AI Research Collaboration Yields Breakthroughs in Efficient Stochastic Methods for Handling Large Discrete Action Spaces In the realm of machine learning, reinforcement learning (RL) stands as a pivotal domain where intelligent agents are groomed to navigate complex environments through interaction and feedback mechanisms. This feedback loop, comprised of actions and consequent rewards or penalties, forms the bedrock of RL algorithms. These algorithms have underpinned advancements in robotics, autonomous systems, and strategic gaming technologies, offering solutions to multifaceted challenges across scientific and industrial domains. https://is.gd/BiDGNp #AI #artificialintelligence #llm #machinelearning #ReinforcementLearning #Science
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Ever wondered how AI learns to play complex games or control robots? Enter reinforcement learning (RL), a fascinating branch of machine learning! Key points about RL: • Inspired by behavioral psychology • Agents learn through trial and error • Rewards and penalties guide the learning process • Used in robotics, game AI, and autonomous systems RL is powering breakthroughs in: 🎮 Game AI (think AlphaGo) 🚗 Self-driving cars 📈 Trading algorithms 🏭 Industrial automation As RL continues to evolve, we're unlocking new possibilities in AI and automation. What applications of reinforcement learning excite you the most? #MachineLearning #AI #ReinforcementLearning #Tech innovation
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With the power of OpenAI driving its capabilities, Figure 01 stands as the epitome of cutting-edge robotics technology, pushing boundaries and ushering in a new era of advancement. In world where automation and are reshaping industries, Figure 01 stands out with its groundbreaking features: 1. Real-Time Autonomy: Operating without human guidance, showcasing autonomy and adaptability. 2. Unparalleled Dexterity: Performing tasks with remarkable human-like precision and efficiency. 3. End-to-End Neural Networks: Enabling seamless integration of speech and visual data for swift decision-making. 4. Transformer Architecture: Leveraging advanced capabilities of the Transformer architecture. 5. Transformative Potential: Representing a new era where robotics redefine possibilities. Join the conversation on the future of AI and robotics with Figure 01. Like, comment, and share to be a part of this transformative journey. #AI #Robotics #Innovation 🤖🚀
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Reinforcement learning is a machine learning paradigm where agents learn through trial and error. Its future in AI holds promise for enabling more autonomous and adaptive systems capable of tackling complex, dynamic tasks. As AI continues to advance, reinforcement learning is expected to play a pivotal role in areas such as autonomous robotics, personalised healthcare, and enhanced decision-making across industries. #AI #future #technology #data #datacareer #datascience #PangaeaX #Xmarksthespot
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ANYmal's capability to adapt in real-time and refine its movements through deep reinforcement learning is truly impressive! This level of autonomy and mobility is exactly what the future of industrial inspections needs. 🦾🚀