Master List AI’s Post

The unveiling of Figure's humanoid robot, Figure 01, marks a noteworthy advancement in how robots interact with the human world. Equipped with OpenAI's technology, Figure 01 goes beyond basic commands to engage in context-aware conversations and demonstrate an understanding of objects and their uses within its environment. This development opens up discussions on AI's capacity for a comprehensive understanding of the world, mirroring the way humans perceive and interact with their surroundings. Figure 01's ability to process verbal queues and recognize the functionality of everyday items showcases the fusion of robotics with sophisticated AI cognition. As we explore the functionalities of Figure 01 through the newly released video, we're not just looking at a technological marvel. We're glimpsing into a future where AI and robotics blend and enter the realm of science fiction. 🎥Check out the clip below to see this integration of AI and robotics in action, Credit to: https://lnkd.in/dr7n85nk #Figure #BostonDynamics #OpenAI #GenerativeAI #ChatGPT

Can you imagine a robot understanding instructions given in plain English? Johns Hopkins APL is making this a reality with ConceptGraphs — a technology that enables robots to map their surroundings, interpret commands, and operate autonomously in the field. Powered by large language models and generative AI, ConceptGraphs facilitates seamless interactions between humans and robots, making it easier for robots to assist with complex tasks. 💬🤖 https://jhuapl.link/rp9 Corban Rivera, senior AI researcher and principal investigator for the Human-Robot Teaming Project, is leading efforts to innovate how robots assist humans in challenging environments. #AskAnExpert | #JHUAPL | #Robotics | #ArtificialIntelligence | #FutureOfAI | #HumanMachineInteraction | #Innovation | #EmergingTech | #TechForGood

🚀 "Holodeck is now real!" 🚀 Imagine training robots in virtual spaces just like in Star Trek! Researchers at the University of Pennsylvania have developed Holodeck, an AI system that creates infinite 3D environments to help robots navigate new spaces. Using large language models, Holodeck allows users to generate detailed virtual worlds with simple prompts. This breakthrough means faster, more effective AI training, reducing the time and effort needed to build virtual environments manually. 🛠️ Robots trained in Holodeck environments can better handle the complexities of the real world—a massive step for AI and robotics! 🌟 What does this mean for the future of AI? How might this technology evolve over the next decade? Let's discuss! Link to Article https://lnkd.in/eSyHT8Mj #ArtificialIntelligence #Robotics #Innovation #AI #VirtualReality #TechNews #FutureTech #UniversityOfPennsylvania #AIResearch #StarTrek #Holodeck #MachineLearning #Technology #roboticsAI #FutureOfWork #scifiTech

So, will we be able to deal with smart robots sooner than we thought? Brett Adcock, a founder of Figure - an AI robotics company, has announced cooperation with OpenAI to provide: - visual reasoning, and - language understanding to Figure 1, the company's smart humanoid robot. Brett claims that this video was shot continuously and at 1.0x speed to show the capabilities of Open AI x Figure collaboration. The actions and answers of the robot are impressive. That gives us an understanding of how robots can be taught with the help of big data sets and AI. We couldn't have imagined this happening in real life just a decade ago. Yet, here we are. What do you think - aren't we moving too fast? Should we spend more time researching and training AI? #robotics #AI #AIrobotics #OpenAI #humanoid #technology

Catch the latest AI news with this week’s quick reads: ➡️ Hugging Face’s leap into robotics ➡️ Tips for measuring AI project success ➡️ AI’s control dilemma ➡️ Meta’s full AI-driven video ecosystem ➡️ The double-edged sword of AI in scientific research ➡️ AI for safer driving ... and more! Stay informed and inspired! #ShareForSuccess! #ArtificialIntelligence #AI #SwissCognitive #AInvestment #AINews #AIInvestment ◻️Meta’s Fully AI-Driven Video Ecosystem ◼️https://lnkd.in/d8zKztu3

#Robots are coming! #OpenAI & Figure just introduced the world's most advanced AI Robot - Figure 02. This robot is capable of full conversations with humans thanks to onboard mics and speakers connected to custom AI models trained in partnership with OpenAI 6 cameras and an onboard Vision Language Model (VLM) enable it to understand the world with common-sense visual reasoning. Speech-to-speech reasoning makes speech the primary mode of communication. It can engage in fluid, natural conversations, just like a human. The robot can understand and respond to its environment in real-time, making it incredibly versatile. We are moving closer and closer to a future where machines and humans live together. Follow Endrit Restelica for more tech stuff. #ai #tech #robotics

OpenAI & Figure just introduced the world's most advanced AI Robot - Figure 02. This is so exciting! As someone who is majoring in biotech, I can't help but think about how this kind of advanced AI could revolutionize healthcare and research. Imagine AI robots assisting in laboratories, conducting experiments, or even helping in surgeries with incredible precision. The potential is limitless! With full conversational abilities and real-time understanding of its environment, this robot could be a game-changer in so many fields, including biotech. What are your thoughts on AI in biotech? Could this be the future of our industry? Follow Endrit Restelica for more tech stuff. #ai #tech #robotics #biotech #innovation

Industrial Automotive Robots Market Analysis Report: 2024-2032 The "Industrial Automotive Robots Market Size, Share, Competitive Landscape, and Trend Analysis Report" provides a comprehensive analysis of the market at global, regional, and country levels. The report covers various segments, categorized by types and applications, to offer a detailed understanding of the market dynamics. Market Overview The scope of the report includes qualitative analysis focusing on: Drivers Opportunities Challenges Trends Additionally, the report highlights key strategies adopted by leading market players, including: Acquisitions Mergers Product Launches Agreements Partnerships Collaborations Joint Ventures Research & Development Investments Regional Expansion Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis The report analyzes the increase or decline in the demand for industrial automotive robots, focusing on: Cost Impact: How cost variations influence market growth or decline. Potential Factors: Identifying niche market opportunities that companies can capitalize on globally. Key Companies Identified in the Report ABB Fanuc KUKA Yaskawa Electric Adept Technology Apex Automation and Robotics Aurotek Daihen Finsar Kawasaki Robotics Key Reasons to Buy the Report Major Region/Country Level Analysis: Both quantitative and qualitative insights at regional and country levels. Detailed Segment Analysis: Comprehensive analysis of different segments at the country level. Key Supplier Profiling: Detailed profiling of key suppliers and their market shares. Customization and Support: Free 20% customization and post-sales support. Additional Customization Offered Criss Cross/3rd level segmentation Additional market players Incorporation of new segmentations Go-to market approaches and tactics This report serves as an essential resource for industry stakeholders to understand the market dynamics, make informed decisions, and capitalize on opportunities within the Industrial Automotive Robots Market. READ MORE AT: https://lnkd.in/gixNYEuh #AMR #IndustrialRobots #AutomotiveIndustry #MarketAnalysis #IndustryReport #TechTrends #Innovation #Automation #Manufacturing #MarketTrends

The Need for a Vision Learning Model in OpenAI's Robot A vision learning model is essential for OpenAI's robot to perceive and understand its environment. It's the robot's "eyes" that allow it to interact with the world in a meaningful way. Here are some key reasons why: 1. Object Recognition and Manipulation: * Identify objects: The robot needs to recognize different objects in its surroundings to perform tasks like picking up a specific item or avoiding obstacles. * Understand object properties: The model must be able to determine object shape, size, color, and texture for precise manipulation. 2. Spatial Awareness: * Map environment: Building a mental map of the surroundings helps the robot navigate efficiently and avoid collisions. * Understand distances: Accurate distance perception is crucial for tasks like grasping objects or approaching people. 3. Human-Robot Interaction: * Facial recognition: Understanding human expressions and gestures enhances communication and cooperation. * Gaze tracking: Following human gaze can improve attention and responsiveness. 4. Learning from Demonstration: * Imitate actions: By observing human actions, the robot can learn new skills and tasks more efficiently. * Understand intentions: Recognizing human goals helps the robot assist in tasks proactively. 5. Adaptive Behavior: * Respond to changes: The robot can adapt to new environments and situations by processing visual information in real-time. * Learn from experience: Continuously improving object recognition and scene understanding through experience. In essence, a vision learning model is the foundation for a robot to operate intelligently and autonomously in the real world. It enables the robot to make informed decisions, interact with humans naturally, and perform complex tasks effectively. #robotics #artificialintelligence #VisionLearningModel #ai #machinelearning #deeplearning #computerVision #automation #technology #innovation #futuretechnology

Are we sure as humans that this is where we want to go? What if logic doesn't seem logical anymore? What if we are not who we are? We are living in parallel worlds, that's for sure. what if we regret it one day? Shouldn't we be preparing for the worst-case situation? #Future #humanrace #humanfactors #AI #robotics #humanbehavior #cognition #designofexperiments #quantum