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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

With only 8 days left before the 2025 college entrance exam, candidates face immense pressure and challenges. To help candidates review more effectively during the final sprint phase, Baidu has released a series of innovative AI tools. These tools aim to provide comprehensive support from reviewing for exams to filling out applications, helping each candidate better cope with the upcoming exam. First, Baidu launched the 'Frequent Exam Topic Library for College Entrance Examination', which gathers core topics from the past three years. Candidates just need to open the Baidu App, search for 'college entrance examination', and they can easily access all the topics from various provinces.

OpenAI announced significant updates to its image generation API (Responses API), adding new features such as streaming transmission, multi-round editing, and integration with Model Context Protocol (MCP) tools and real-time web data search. These new features not only improve the efficiency of image generation but also provide developers with more flexible creation methods, marking a new stage for AI-driven visual content creation. AIbase has compiled the core highlights of this update and its far-reaching impact on the industry.

Recently, the artificial intelligence company Anthropic announced that free users of its intelligent assistant Claude can now enjoy the new web search feature. The introduction of this functionality provides users with a richer way to obtain information, further enhancing the practicality and interactivity of Claude. Background on the New Feature Claude is an intelligent assistant developed by Anthropic, based on advanced natural language processing technology.

Today, ByteDance launched the new image agent "Xiaoyunque AI", an intelligent creation tool that has drawn industry attention. Its functions are similar to Lovart; users just need to give one instruction, and "Xiaoyunque AI" can actively think, intelligently execute, and quickly generate hit videos and images, truly achieving instant inspiration and zero-threshold creation. "Xiaoyunque AI" requires no professional skills, making creation as easy as chatting. It is suitable for short video creators, marketing teams, and ordinary users, greatly lowering the threshold of content creation. Relying on ByteDance's self-developed "Yunque" large model, this tool

Opera has officially announced the release of its new AI-driven proxy browser, Opera Neon, and opened an Alpha version waiting list. This browser redefines the way users interact with the web by integrating innovative features such as intelligent chatting, task automation, and content creation through its unique proxy function. AIbase has compiled the latest highlights of Opera Neon and its far-reaching impact on future browsing experiences. Global First Proxy Browser: Redefining the Web Experience Opera Neon is positioned as

Recently, Google officially released the open source framework LMEval, aimed at providing standardized evaluation tools for large language models (LLMs) and multimodal models. The launch of this framework not only simplifies cross-platform model performance comparisons, but also supports assessments in areas such as text, images, and code, showcasing Google's latest breakthroughs in the field of AI evaluations. AIbase has compiled the latest developments of LMEval and its impact on the AI industry. Standardized Evaluations: Simplified Cross-Platform Model Comparisons

Recently, the AI company Anthropic announced the launch of a new voice mode in its Claude mobile application, aimed at enhancing interaction experiences for English users. The introduction of this feature provides users with innovative communication methods, including diverse voice personality options and real-time chat transcription.

Recently, Google announced a new artificial intelligence model called SignGemma on its social media platforms. This model will be able to convert sign language into spoken text. This innovation is expected to be added to the open-source Gemma series later this year and eventually applied to several of Google's products, such as Gemini Live. The Background of Sign Language Conversion Technology Sign language is an important tool for deaf people to communicate with others, and its usage range is becoming increasingly widespread.

Recently, Pixeltorte's independently developed "Fangtang large model" has officially passed the filing by the Cyberspace Administration of China (CAC), becoming the first application-level image large model with official qualifications in the domestic imaging industry. This achievement not only marks a breakthrough in technology for the Fangtang large model but also demonstrates its compliance and safety standards meeting national requirements. The successful registration of Fangtang is an important milestone in the field of artificial intelligence, especially against the backdrop of the increasingly developing image generation technology. Pixeltorte's independent research and development in this technology highlights its strength in AI.

Recently, Telegram has reached a partnership with Elon Musk's artificial intelligence company xAI to distribute the latter's chat bot Grok through Telegram and integrate it into available applications on the chat application platform for one year. Telegram CEO Pavel Durov said on Tuesday that as part of the deal, xAI will pay $300 million in cash and equity to the chat application. Durov said, Te

Programmers have a new tool to cheer about! LocAgent, a graph-indexed large language model (LLM) agent framework designed specifically for code localization, has been jointly developed by the research teams from OpenHands, Yale University, University of Southern California, and Stanford University. Excitingly, LocAgent's code localization accuracy reached 92.7%, and this new achievement will be officially presented at the 2025 ACL conference. Programmers often struggle with identifying the root cause of code problems in their work. For example

DeepSeek recently made significant updates to its high-performance reasoning AI model, DeepSeek-R1, greatly enhancing the model's performance in code generation and complex reasoning tasks, drawing widespread attention in the artificial intelligence community. Below is a comprehensive analysis of the key highlights of this update based on public information and the latest developments. R1 Model Update: Significant Improvement in Code Ability The latest update to DeepSeek-R1 has achieved remarkable breakthroughs in code generation capabilities. Testing shows that the new version of R1 significantly improves its ability to handle complex coding tasks.