Archetype AI

Physical AI Research Spotlight: Understanding the Future of Radar Technology Today, we're excited to share insights from a newly published whitepaper "Use Cases and Applications for Radar Systems," co-authored by the members of the Consumer Technology Association's Ripple radar standard group. Archetype AI is a member and our co-founder Brandon Barbello is Ripple's chair. Here are the key takeaways from the whitepaper: 🔹 Radar is evolving from specialized applications into a versatile, general purpose technology that can revolutionize how we interact with and understand the physical world. 🔹 Unlike cameras that capture images, radar can detect subtle movements and understand human behavior while preserving privacy — making it ideal for applications from automotive safety to healthcare monitoring to manufacturing. 🔹 Modern radar systems can integrate advanced AI to decode complex patterns in real-time sensor data, enabling unprecedented insights into physical phenomena that escape human perception. 🔹 As the global 60GHz mmWave Radar Market grows from $39M in 2024 to a projected $275.8M by 2030, we're seeing increasing demand for precise, privacy-preserving sensing solutions across industries. At Archetype AI, we're developing Newton, our physical AI foundation model that can perceive and reason about the physical world in real-time. For an example of what Newton can do with radar perception check out our recent blog post: https://lnkd.in/gFVeJgxs Interested in learning more about how general purpose radar technology is shaping the future of human-machine interaction? Read on: https://lnkd.in/dy9DYhv2

Archetype AI is #hiring! We are excited to announce we are hiring and have multiple new roles open across our platform and research teams. 🔹 Principal Software Engineer: Design, implement, and scale our advanced real-time Al platform https://lnkd.in/gD-vQGfN 🔹 Senior Applied Al Researcher: Develop, refine, and deliver modern Al algorithms for real-time sensing https://lnkd.in/gRZf6erC These positions are remote-friendly with preference given to those +/- 2 hours from PST (San Francisco) and GMT+2 (Barcelona) time zones. Please apply using the links above. Any questions regarding job inquiries can be sent to info@archetypeai.team; we will not respond to Linkedin DMs. About the company: Archetype Al is a company pioneering Physical Al, a new form of artificial intelligence designed to understand and interact with the physical world. The company is developing Newton™, a foundation model that integrates real-time sensor data from various sources (such as radars, cameras, accelerometers, and thermometers) with natural language to gain new insights about the physical world. #ArtificialIntelligence #PhysicalAI #Engineering

Our large behavior model, Newton, creates a detailed narrative of a real-world scenario using only a microphone and radar — no camera required! 🔹 By fusing real-time sensor data with contextual information, it can figure out if someone may need help and offer recommendations. 🔹 This is similar to how humans have an ability to derive meaning from scattered perceptual cues and incomplete information. For example, seeing someone biking with children on a weekday morning naturally leads us to infer that they are likely heading to school. 🔹 Newton keeps recent sensor events in its "short-term memory" and uses them to generate meaningful descriptions. Knowing history is key: the same situation would be interpreted differently depending on the events that lead up to it. The real world is non-Markovian! Read on: https://lnkd.in/gFVeJgxs #PhysicalAI #artificialintelligence

From a trillion sensors to a trillion dollars: the world is filled with devices that gather, analyze, and transmit data, but organizations struggle to capitalize on that. At Archetype AI, we believe that AI holds the key to unlocking the full potential of this information. With our large behavior model, Newton, we are offering a new way to overcome the fragmentation of sensor data. The economic implications are impressive — McKinsey estimates it will enable up to $12.6 trillion in global value by 2030. Read more: https://lnkd.in/ePD5uHTU

Beyond chatbots: What if we could use AI to understand the physical world? Check out the most recent NEXT Conference talk by Ivan Poupyrev, Dr., CEO and co-founder of Archetype AI. Continue watching: https://lnkd.in/geNBwDPu

How generative AI will change the way we understand and interact with the urban environment? And how AI can be used for traffic optimization, public safety, and climate change mitigation? This October, Archetype COO and Co-Founder Brandon Barbello joined Urban AI to share some of the Newton use cases for urban planning and traffic control. Watch the full video here: https://lnkd.in/gzXuC5Sf

“While most people think of language models, we are building a big model for the physical world. We are primarily focused on training models with data coming from a variety of physical sensors. For example, sensors from a factory, a machine, a warehouse, a home, or a medical system. And we're building a single model that can handle information from all kinds of sensors.” Thanks to Revista Emprendedores España and Pilar Alcazar for featuring Archetype AI! https://lnkd.in/gjQz_vkx

"Imagine the AI monitoring construction sites, and issuing instant warnings when it spots danger. Or you could use Physical AI to track packages and spot when someone mishandles them in some way. You don’t need specific programming for this — you just ask the model." https://lnkd.in/gnfzcvqi

What if AI could also uncover the governing laws of the physical world by analyzing a variety of sensor data on its own, without human guidance? In a recent paper by the Archetype AI team, A Phenomenological AI Foundation Model for Physical Signals, we demonstrate how an AI foundation model can effectively encode and predict physical behaviors and processes it has never encountered before: https://lnkd.in/gWrSgCzF

"People talk about AI like it's a super-smart alien, but objectively what we have now is just a chatbot. It's not AGI. We don't know exactly what is happening in the real world — or where. And that's the challenge that AI could help us solve." Curious about the potential of AI in the physical world? Check out Ivan Poupyrev, Dr.'s keynote for NEXT Conference: https://lnkd.in/gZEj8mWG