Search AI Products and News

Recently, the Speech Team of Qwen Laboratory has made a milestone achievement in the field of spatial audio generation and launched the OmniAudio technology. This technology can directly generate FOA (First-order Ambisonics) audio from 360-degree videos, bringing new possibilities to virtual reality and immersive entertainment. Spatial audio, as a technology that simulates real auditory environments, can enhance immersive experiences. However, existing technologies are mostly based on fixed perspective videos and underutilize the spatial information of 360-degree panoramic videos. Traditional video-to-audio generation

On April 27, Zhipu AI (Z.ai) and Shengshu Technology (shengshu.com), two leading artificial intelligence companies under Tsinghua University, announced a major strategic partnership. This collaboration aims to leverage both companies' technological expertise in large language models and multi-modal generative models to jointly advance the technological innovation and industrial application of domestic large models.

At the recently concluded 18th China Electronic Information Annual Conference, the China Electronics Society announced the winners of the 2024 Science and Technology Awards. Among them, the project "Key Technologies and Applications of Secure and Trusted Dynamic Behavior in the Internet with High-Efficiency Collaboration," jointly developed by Tsinghua University, Beijing Zhongguancun Laboratory, and Ant Group, won the first prize for scientific and technological progress. This achievement not only demonstrates the enormous potential of cutting-edge technology in the field of secure and trustworthy computing, but also provides an effective solution to address the increasingly complex network environment. With the proliferation of the internet, malicious traffic attacks and covert...

The Shanghai Artificial Intelligence Laboratory has released the open-source "Wanjuan Silk Road 2.0" multilingual multimodal corpus. Building upon the existing 5 languages (Arabic, Russian, Korean, Vietnamese, and Thai), this updated corpus adds three rare languages: Serbian, Hungarian, and Czech. It encompasses four modalities – text, images, audio, and video – totaling over 11.5 million data points and more than 26,000 hours of audio and video, making it a significant resource for low-resource multilingual multimodal research.

In the field of multimodal artificial intelligence (AI), engineers from Apple have collaborated with a research team from Sorbonne University in France on a significant study. Recently, tech media outlet marktechpost published a blog post discussing the application and prospects of early and late fusion models in multimodal AI. The research indicates that early fusion models trained from scratch offer superior computational efficiency and scalability. Multimodal AI aims to process multiple data types simultaneously, such as images and text; however, integrating these diverse sources presents challenges.

Researchers from DeepSeek and Tsinghua University recently published a new paper exploring scaling methods for reward model inference, seemingly advancing DeepSeek R2. Reinforcement learning is widely used in the large-scale post-training phase of large language models, but faces the challenge of obtaining accurate reward signals for these models. The researchers found that using pointwise generative reward modeling (GRM) improves model adaptability and scalability during inference. To this end, they propose Self-Principle Calibration Tuning (SPCT) learning.

Hedra has announced a significant advancement in AI digital humans with the launch of its Character-3 model and Hedra Studio. This new technology enables joint reasoning across images, text, and audio, leading to more realistic and interactive digital human experiences.

In recent years, the rapid development of artificial intelligence (AI) technology, especially driven by countries like the United States and China, has made AI a focal point of global technological competition. To this end, the EU recently announced a funding program of up to 200 billion euros to promote development in this field. Despite Germany's strong capabilities in AI research, why hasn't a single successful AI enterprise emerged? Source: Image generated by AI, image courtesy of service provider Midjourney according to Professor Bjorn from the University of Munich.

Recently, Tongyi Laboratory officially open-sourced its innovative music generation technology - InspireMusic. This technology aims to create an open-source AIGC toolkit that integrates music, song, and audio generation capabilities, providing researchers, developers, and music enthusiasts with a comprehensive creative platform. InspireMusic offers researchers and developers rich tools for training and fine-tuning music/song/audio generation models, as well as efficient models to optimize generation results. Meanwhile, this toolkit...

On January 22, 2025, U.S. President Trump announced that OpenAI, SoftBank, and Oracle have jointly established a new venture called 'The Stargate Project'. This initiative is expected to invest $500 billion (approximately 3.6 trillion yuan) over the next four years to build AI infrastructure. The project aims to enhance the U.S. leadership in the AI sector and is projected to create 100,000 new jobs. According to the agreement, OpenAI will be responsible for daily operations, while SoftBank...

The AI image detection system developed by Tencent's Hongyuan Security Team's Zhuque Laboratory can determine if an image is AI-generated within a few seconds by uploading the image and waiting for verification. The system primarily distinguishes between real images and AI-generated images by capturing differences, such as AI-generated images sometimes defying common sense logic, showing unrealistic content like dogs flying with wings or cats smoking cigars.

AliCloud and leading large model enterprise Zero One Technology have announced an important strategic cooperation to jointly establish the "Industrial Large Model Joint Laboratory," marking deep collaboration between two tech giants in the field of AI. This cooperation will accelerate the transformation of large model technology into practical application scenarios and promote further integration of the industrial large model ecosystem. The newly established joint laboratory will cover three core areas: technology, business, and talent. By integrating the R&D advantages of both parties in the field of large models, the laboratory will focus on exploring next-generation foundational model technologies and will utilize AliCloud's capabilities.

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.

The Alibaba Tongyi Laboratory voice team announced that its open-source voice generation model CosyVoice has been upgraded to version 2.0. This upgrade marks significant progress in voice generation technology in terms of accuracy, stability, and natural experience. CosyVoice 2.0 achieves bidirectional streaming voice synthesis through the integration of offline and streaming modeling techniques, allowing for a first-package synthesis delay of up to 150ms, thereby significantly improving the responsiveness of voice synthesis.