AIC

DexCap: Open-Source Innovation in Robotic Dexterity Stanford AI Lab unveils DexCap, a hand motion capture system that enhances robotic dexterity through an imitation learning algorithm, DexIL. Priced at $3,600, DexCap utilizes occlusion-resistant tracking to translate human hand movements into actionable data for robotic applications. • Advanced motion capture system integrating with DexIL for dexterous robotic manipulation. • Human-in-the-loop correction mechanism for performance refinement. • Not reliant on continuous human control, paving the way for autonomous policy rollout. ⭐️For more tech breakdowns subscribe to our newsletter!👇 #NeuraNet Newsletter: https://lnkd.in/dXJhwR8a Developed by: Chen Wang at Stanford AI Lab DM if you are a fund looking to invest in the AI space. #Robotics #AI #DexterityInnovation #MachineLearning

GPT-5: Navigating the Future of AI with OpenAI’s New Model” OpenAI’s Next Leap: Anticipating the Impact of the GPT-5 Model Release OpenAI’s CEO Sam Altman hints at a groundbreaking development with the upcoming release of ‘an amazing new model’ this year. Stakeholders are keenly awaiting to see if GPT-5 will redefine AI applications across industries. Innovation on the Horizon: OpenAI is set to unveil a new AI model, potentially GPT-5. Anticipated Transformation: Discussions revolve around how the new model may revolutionize current AI capabilities. ⭐️For more tech breakdowns subscribe to our newsletter!👇 #NeuraNet Newsletter: https://lnkd.in/dXJhwR8a #OpenAI #GPT5 #AIModel #MachineLearning #ArtificialIntelligence #TechInnovation #AIResearch #SamAltman #NeuraNet #SamoAi