DL3DV-10K: A Large-Scale Multi-View Scene Dataset to Advance Neural View Synthesis

Douyin Group Seeks AI Data Annotation Suppliers with Minimum Registered Capital of One Million

AgiBot Digital World Simulation Framework Launched by Zhipu AI, Featuring Rich and Diverse Datasets

Google DeepMind Launches the WebLI-100B Dataset with Hundreds of Billions of Visual Language Data

Meta Accused of Copyright Infringement: Using LibGen Dataset to Train AI and Deleting Copyright Information

Meta is facing a copyright infringement lawsuit, with the plaintiff's attorney claiming that CEO Mark Zuckerberg approved the use of a dataset containing pirated e-books and articles to train its Llama AI model. This case is one of many copyright lawsuits against several tech giants accused of using copyrighted works for AI model training without authorization. In documents filed in the U.S. District Court for the Northern District of California on Wednesday evening, the plaintiffs reiterated Meta's actions from the end of last year.

Chinese Scientists Overcome Point Cloud Compression Challenges, Enhancing AR/VR Experience

An innovative point cloud compression technology (TSC-PCAC) developed by a joint team from the Chinese Academy of Sciences, Tongji University, and Ningbo University has achieved a significant breakthrough. This technology not only greatly improves the compression efficiency of point cloud data but also significantly reduces processing time, clearing technical obstacles for the development of 3D applications like AR/VR. In the context of the rapid advancement of 3D vision technology, point clouds, as a key data format for virtual and augmented reality, face tremendous transmission and storage challenges. A high-quality point cloud can contain millions of data points, with each point...

ZhiYuan Robotics Releases the World's First Million-Instance Real Machine Dataset: AgiBot World

Breaking: China Releases the First Million-Level Robot Dataset for Open Source, Embodied Intelligence Welcomes Its ImageNet Moment

ZhiYuan Robotics, in collaboration with the Shanghai Artificial Intelligence Laboratory and other institutions, has launched the AgiBot World dataset, the world's first million-level robot dataset based on real-world scenarios. Compared to Google's Open X-Embodiment, the scale of long-range data has increased tenfold, the scene coverage has expanded one hundredfold, and the data quality meets industrial standards. This open-source project, hailed as the 'ImageNet moment' in the field of embodied intelligence, showcases remarkable robotic capabilities, from arranging flowers in the living room to cooking in the kitchen and handling checkout in supermarkets.

Ant Group Constructs the First Million-Level High-Quality Deepfake Dataset in the Industry

Recently, at the 12th Digital Finance and Technology Finance Conference, part of the Zhongguancun Forum series of events, Ant Group's Deepfake detection solution was selected as a “Financial Technology Innovation and Application Case.” Leveraging its Tiantong Laboratory, Ant Group has constructed the first large-scale, high-quality, multi-modal Deepfake dataset in the industry, synthesizing over a million multimedia contents that fully simulate Deepfake attack samples in real-world financial risk control environments, becoming a benchmark for evaluating existing Deepfake detection in the financial sector.

Harvard University Releases Million-Volume Book Dataset to Provide High-Quality Training Material for AI Models

Harvard University to Release Massive Free AI Training Dataset Funded by OpenAI and Microsoft

Harvard University announced on Thursday the release of a high-quality dataset containing nearly one million public domain books, which anyone can use to train large language models and other AI tools. This dataset was created by Harvard's newly established Institutional Data Initiative and is funded by Microsoft and OpenAI. The included books are all works scanned by the Google Books Project that are no longer under copyright protection.