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Authentic Holdings, Inc., Signs Advisory Agreement with Ninja Digital Holdings LLC to Monetize Its Goliath Motion Pictures Library For AI Training, Data Labeling and Licensing
Globenewswire· 2025-10-23 12:00
Core Insights - Authentic Holdings, Inc. has entered into an exclusive partnership with Ninja Digital Holdings to monetize over 30,000 film and TV titles through KLED, a leading data marketplace [1][4] - The extensive content library, acquired for $11 million, includes over 30 terabytes of digital data and will be utilized for AI model training and machine learning applications [2][5] - The partnership positions Authentic Holdings to tap into a new revenue stream by leveraging its entertainment library within the expanding AI ecosystem [3][4] Company Overview - Authentic Holdings, Inc. focuses on acquiring, developing, and monetizing intellectual property across various entertainment sectors, including music, television, and film [6] - The company aims to create value through innovative technologies in both traditional and next-generation media ecosystems [6] Industry Context - The demand for diverse, high-quality data in the AI industry places Authentic Holdings in a favorable position to capitalize on this global opportunity [4][5] - The collaboration with KLED ensures that Authentic's assets will be effectively utilized for AI model training, enhancing the long-term value of its intellectual property portfolio [5][8]
NVIDIA Announces Isaac GR00T N1 — the World's First Open Humanoid Robot Foundation Model — and Simulation Frameworks to Speed Robot Development
GlobeNewswire News Room· 2025-03-18 19:08
Core Insights - NVIDIA has launched a portfolio of technologies aimed at enhancing humanoid robot development, including the NVIDIA Isaac GR00T N1, which is the first open and fully customizable foundation model for humanoid reasoning and skills [1][3][19] Group 1: Technology Overview - The GR00T N1 model features a dual-system architecture inspired by human cognition, consisting of a fast-thinking action model ("System 1") and a slow-thinking decision-making model ("System 2") [4][5] - GR00T N1 can generalize across common tasks and perform multistep tasks, applicable in areas such as material handling, packaging, and inspection [6] - NVIDIA has introduced the Isaac GR00T Blueprint for synthetic data generation, which allows developers to create large amounts of synthetic motion data from limited human demonstrations [15][16] Group 2: Collaborations and Partnerships - NVIDIA is collaborating with Google DeepMind and Disney Research to develop Newton, an open-source physics engine designed to enhance robot learning and task handling precision [9][10] - The collaboration aims to accelerate robotics machine learning workloads by over 70 times through the development of MuJoCo-Warp [11] - Disney Research plans to utilize Newton to advance its robotic character platform, enhancing the expressiveness of next-generation entertainment robots [12][13] Group 3: Performance and Data Generation - NVIDIA generated 780,000 synthetic trajectories in 11 hours, equating to 6,500 hours of human demonstration data, which improved GR00T N1's performance by 40% when combined with real data [16] - The GR00T N1 dataset is being released as part of a larger open-source physical AI dataset, now available on Hugging Face [17] Group 4: Availability and Future Developments - The GR00T N1 training data and task evaluation scenarios are available for download, along with the Isaac GR00T Blueprint for synthetic manipulation motion generation [20] - The Newton physics engine is expected to be available later in the year, further enhancing the capabilities of humanoid robots [21]