Alexander Wong’s Post

Chinese robotics technology firm LimX Dynamics' Biped Robot P1's latest demonstration test shows the machine's ability to respond remarkably well when threatened by a human. The robot uses reinforcement learning to respond to outside stimuli such as moving objects or bumps on a path, according to the firm. Reinforcement learning is a subset of a set of techniques that are used to train artificial intelligence algorithms, and the latest news about the firm, also called Zhuji Dynamics, builds up on its steady development of robotic technologies. [: 📽@LimXDynamics on YouTube limxdynamics.com] Follow Rishab Purohit for more Ai stuff #ai #chatgpt #aitools #openai #aitips #machinelearning

Explore the new paper, "Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning." This research introduces a novel approach to robot learning by leveraging sparse diffusion policies, enhancing the flexibility and reusability of robotic policies. The paper provides a comprehensive analysis of the techniques used, making it a valuable resource for developers and researchers in AI and robotics. The findings highlight significant improvements in the efficiency and adaptability of robot learning systems. For those interested in the technical aspects and practical applications of robot learning, this paper is essential reading. It offers insights and solutions that contribute meaningfully to advancements in the field. Read the full paper here: [https://lnkd.in/gXYK8E9K] #AI #Robotics #MachineLearning #RobotLearning #SparseDiffusion #Research #Innovation #DataScience

#AI MODELS that performs Summarization , Fill-mask , Transformers. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society  #AIMERS #AIMERSOCIETY #APSCHE #DATASCIENCE #OPENCV #HUGGINGFACE #ARTIFICIALINTELLIGENCE #MACHINELEARNING #DEEPLEARNING #BIGDATA #COMPUTERVISION #NATURALLANGUAGEPROCESSING #AI #TECHNOLOGY #INNOVATION #ROBOTICS #AUTOMATION

Alter3: A Breakthrough GPT-4-Powered Humanoid Robot - Innovative Integration: Alter3 utilizes GPT-4 to translate natural language instructions into precise robotic actions, enhancing task performance. - Enhanced Capabilities: Capable of performing complex tasks such as taking selfies or mimicking behaviors, Alter3 showcases significant advances in robotic autonomy. - Research and Development: Developed by the University of Tokyo and Alternative Machine, this project exemplifies the integration of LLMs in robotics. Subscribe to our daily newsletter here for more AI news https://lnkd.in/d5wYRj92 #AI #Innovation #Technology #Creativity #Futurism #Engineering #SoftwareEngineering #Robotics #ArtificialIntelligence #Automation

Today, I trained a robot to find its way. Like teaching a cat to fetch. Difficult, but not impossible. Inverse kinematics, fuzzy logic, ANFIS... sounds fancy, right? It’s just a robot trying to figure out how to move its limbs to get where it needs to go. Kind of like when you navigate through a crowded conference room, coffee in one hand, handshake ready in the other. Except this robot? No coffee spills. By using a neuro-fuzzy system, we're teaching robots to think, not just act. ANFIS takes the guesswork out of movement. Input coordinates, output angles, like a GPS but for robotic arms. It’s the difference between wandering around blindly and knowing exactly where to put your foot next. Real-world application? Think about surgical robots at Neuralink. Precision is key. One wrong move and it's not just the coffee that spills. With ANFIS, those robots learn how to make the right moves, every time. Robots are learning. Shouldn’t we? #Robotics #AI #MachineLearning

What can we conclude from this year's Nobel prizes? AI cannot be a reliable substitute for humans without embodiment. The first Nobel Prizes - in physics and in chemistry recognized traditional and neurosymbolic AI approaches. And even there were concerns about AI's role in the literature prize 😀 However, the literature prize (yet) cannot be awarded to AI. AI can't create texts like Han Kang because they require a (threatened) corporeality that AI doesn't have (yet). To become autonomous and assist us, robots need some (artificial) body, sense organs, and the ability to learn from interactions with humans and replicate human-like goal-oriented behavior. The next big thing may be Cognitive Robotics #NobelPrize #Robotics #CognitiveRobotics #KyivSchoolOfEconomics

Check out the new paper, "WayEx: Waypoint Exploration using a Single Demonstration." This research introduces WayEx, a novel method for learning complex goal-conditioned robotic tasks from a single demonstration, significantly enhancing the efficiency and effectiveness of robotic learning. The paper provides a detailed analysis of the techniques used, making it a valuable resource for developers and researchers in AI and robotics. The findings highlight substantial improvements in waypoint exploration and goal-conditioned learning. For those interested in the technical aspects and practical applications of robotic learning, this paper is essential reading. It offers insights and solutions that contribute meaningfully to advancements in the field. Read the full paper here: [https://lnkd.in/gTp8nQ_h] #AI #MachineLearning #Robotics #DataScience #Research #Innovation #WaypointExploration #WayEx

Machine Learning & Computer Vision in Robotics: Unlocking New Possibilities! 🤖📷 The intersection of machine learning (ML) and computer vision (CV) is transforming the robotics industry. These technologies enable robots to perceive, analyze, and understand their environments—leading to smarter, more adaptive systems. 🔍 One key technique is object detection using Convolutional Neural Networks (CNNs). With algorithms like YOLO (You Only Look Once) and Faster R-CNN, robots can: Detect and classify objects in real-time Navigate complex environments Identify obstacles and people In robotic vision systems, ML models also leverage techniques like: Semantic segmentation for detailed scene understanding Optical flow for motion tracking SLAM (Simultaneous Localization and Mapping) for mapping unknown environments As these technologies evolve, the applications are endless—from autonomous drones 🚁 to surgical robots 🏥, and self-driving cars 🚗! Curious to learn more about these cutting-edge technologies? Let’s connect and discuss! 🌟 #Robotics #MachineLearning #ComputerVision #AI #ObjectDetection #Innovation

Combining next-token prediction and video diffusion in computer vision and robotics - MIT News: Combining next-token prediction and video diffusion in computer vision and robotics  MIT News http://dlvr.it/TFQFNM #ai #artificialintelligence

How about no AI at all in fields like literature!! How about just admiring the depth of human conscience needed to create literary masterpieces instead of trying to emulate it using an algorithm? The enshittification of fields using AI needs to stop!