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Optimizing Imitation Learning: How X‑IL is Shaping the Future of Robotics
Designing imitation learning (IL) policies involves many choices, such as…
π0 Released and Open Sourced: A General-Purpose Robotic Foundation Model that could be Fine-Tuned to a Diverse Range of Tasks
Robots are usually unsuitable for altering different tasks and environments.…
Researchers from Stanford and Cornell Introduce APRICOT: A Novel AI Approach that Merges LLM-based Bayesian Active Preference Learning with Constraint-Aware Task Planning
In the rapidly evolving field of household robotics, a significant…
Google DeepMind Researchers Propose RT-Affordance: A Hierarchical Method that Uses Affordances as an Intermediate Representation for Policies
In recent years, there has been significant development in the…
Latent Action Pretraining for General Action models (LAPA): An Unsupervised Method for Pretraining Vision-Language-Action (VLA) Models without Ground-Truth Robot Action Labels
Vision-Language-Action Models (VLA) for robotics are trained by combining large…
Theia: A Robot Vision Foundation Model that Simultaneously Distills Off-the-Shelf VFMs such as CLIP, DINOv2, and ViT
Visual understanding is the abstracting of high-dimensional visual signals like…
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The Singularity Is Nearer: When We Merge with AI
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The AI Edge: Sales Strategies for Unleashing the Power of AI to Save Time, Sell More, and Crush the Competition
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The Nvidia Way: Jensen Huang and the Making of a Tech Giant
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The ChatGPT Millionaire: Making Money Online has never been this EASY (The AI Wealth Engine - How to make money using Chat GPT and Generative AI)
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Reclaiming Reality: Restoring Humanity In The Age Of AI
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The Nvidia Way: Jensen Huang and the Making of a Tech Giant
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Machine Learning System Design Interview
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The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
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Nexus (Spanish Edition): Una breve historia de las redes de información desde la Edad de Piedra hasta la IA [A Brief History of Information Networks from the Stone Age to AI]
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