Quarterhorse Technology Group’s Post

Exploring Sophia : The AI Who Asks "WHY"? Discover Sophia, the extraordinary AI created by Hanson Robotics! In this video, we'll introduce you to Sophia's remarkable features, her purpose, and the controversies surrounding her existence. Join us for a brief yet intriguing glimpse into the world of artificial intelligence. Hit play now to meet Sophia!

Exciting new blog post alert! Find out "What AIs are not Learning (and Why)" in the latest article at arXiv:2404.04267v1. Learn about the limitations and opportunities for AI in robotics and how we can pave the way for a future where robotic AIs can learn experientially and serve people broadly. Check out the full post here: https://bit.ly/3VRTuyX.

Have you ever wondered how AI at the edge is reshaping our world? As part of the Arrow family, we have seen AI's profound impact across industries, from smart homes to robotics and beyond. Join us in exploring the transformative potential of AI at the edge. Discover more at https://lnkd.in/gTY_-uax

For anyone interested in AI, Data & Robotics and with a bit of time tomorrow - check out the agenda to see which sessions could be most of interest 👇

Isn't it incredible how far technology has come? AI is now helping robot dogs navigate the real world! Imagine them exploring pathways, following commands, and learning just like our furry friends. This leap in generative AI is paving the way for amazing possibilities in robotics. Want to learn more about how AI is changing our world? Check out the full article here: [AI helps robot dogs navigate the real world](https://lnkd.in/gdS8E7Y8) Follow me for more exciting insights!

Diffusion models took the world of GenAI by storm in the last couple of years, and robotics is no different. This year, a new contender emerged: Flow Matching. We have seen in recent months multiple high-profile projects switching from diffusion to flow matching: Stable Diffusion 3 from Stability AI, Flux from Black Forest Labs, FoldFlow from Dreamfold, and last month MovieGen from Meta. But what about Robotics? Is Flow Matching a strong contender for robot policy learning? We investigate this in our latest work! Next week at #CoRL, we will present "Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching", joint work with Nick Heppert, Max Argus, Tim Welschehold, @Thomas brox, and Abhinav Valada. If you are in the robot policy learning space, this is one you don't want to miss! If you are also attending the conference, drop me a message, I'd love to chat! Project Webpage: https://lnkd.in/etM_b6GM

AI in operations management: finally, a way to automate the chaos! 😄 I came across an interesting article that shows how AI boosts efficiency and optimization in operations. The article also dives into future trends like Edge AI and robotics, highlighting AI’s role in predictive maintenance and ethical considerations. https://lnkd.in/gug-uU6T

I'm thrilled to share that I’ve recently published two articles on Medium, diving into state estimation and filtering: 1️⃣ Understanding the Kalman Filter: A Comprehensive Guide 👉 https://lnkd.in/d6bVS-tC 2️⃣ Demystifying Particle Filters: A Simple Guide to Bayesian Filtering 👉 https://lnkd.in/d4fWF7Qi These articles offer practical insights into how systems estimate and track states in noisy environments—essential knowledge for professionals in robotics, AI, and beyond. 💡 Dive in to learn about the principles, real-world applications, and modern AI solutions! 🔗 Check them out, and I’d love to hear your feedback!

The Uncanny Valley was once just a theory. Now, with rapid advancements in AI and robotics, we're about to put it to the test in real life. What this means for the future of human-AI teamwork, by Nir Zicherman: https://bit.ly/3MPc1Gg

Join in to learn more and ask about #generatieveai on Nvidia Jetson