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From April 1st to 18th, approximately 100,000 ninth-grade students in Wuhan participated in their physical education entrance examination. This year's exam introduced a new AI intelligent judging system, marking a significant shift in physical examination assessment. Traditionally, physical education exams relied on manual timing and scoring. This year's exam utilized intelligent devices and cloud management to ensure fairness and efficiency. The exam incorporated several AI technologies, including facial recognition, electronic distance measurement, and wireless sensing, covering 14 items across three categories.

The general-purpose AI agent product Manus, launched recently, has attracted a large number of users vying for invitation codes. While its performance has garnered much attention, there's also significant interest in the technology behind Manus. Besides numerous teams attempting to replicate Manus, a user named Jian recently cracked the Manus system. By simply requesting Manus to output the contents of the directory '/opt/.manus/', they successfully obtained some sensitive information and operational data.

Recently, Luo Yonghao's AR startup, Thin Red Line, announced its official launch of spring recruitment for 2025, attracting considerable attention. The company's currently open full-time positions are all for Product Managers, including Senior Software Product Manager, AI Software Product Manager, IM Software Product Manager, BI Data Product Manager, and Commercialization Product Manager. Locations are in Shanghai and Beijing, though specific salary ranges haven't been publicly disclosed. According to industry media outlet 36Kr, Luo Yonghao's latest...

Analyzing medical image data has always been a complex and laborious process. Recently, researchers at Weill Cornell Medicine developed a novel artificial intelligence system called LILAC (Learning-based Inference of Longitudinal Image Changes) that can efficiently and accurately analyze and detect changes in medical images over time. This research, published on February 20th in the Proceedings of the National Academy of Sciences, showcases LILAC's broad application potential in various medical scenarios. Traditional medical image analysis methods often require extensive customization and pre-processing.

Meta has recently launched a new risk policy framework aimed at assessing and mitigating the risks associated with cutting-edge AI models, with the intention to halt development or restrict the release of these systems when necessary. This framework, named 'Cutting-edge AI Framework', outlines how Meta will categorize AI models into high-risk and critical risk categories, and take appropriate measures to reduce risks to an 'acceptable level'. In this framework, critical risks are defined as those uniquely capable of executing specific threat scenarios, while high risk implies

Recently, an AI system developed by Google DeepMind—AlphaGeometry2—has successfully surpassed the average level of gold medalists at the International Mathematics Olympiad (IMO), demonstrating outstanding performance in solving geometry problems. AlphaGeometry2 is an upgraded version of the AlphaGeometry system released by DeepMind last year. According to the latest research from the research team, this system can solve 84% of the geometry problems from the IMO over the past 25 years.

As artificial intelligence technology continues to evolve, more people are starting to pay attention to the depictions of teenagers by AI systems. Robert Wolf, a PhD student at the University of Washington, conducted an experiment where he had the AI system complete the sentence 'This teenager is _____ at school.' He originally expected answers like 'studying' or 'playing', but was unexpectedly given the shocking response 'dying'. This discovery prompted Wolf and his team to delve deeper into how AI portrays teenagers. Image source note: Image generated by AI, image licensed from service provider Midjourney.

At the 2025 Consumer Electronics Show (CES), NVIDIA unveiled the new Cosmos platform, designed to accelerate the development of physical artificial intelligence (AI) systems, particularly for autonomous vehicles and robots. The Cosmos platform integrates a generative world foundation model (WFM), video taggers, safety mechanisms, and an accelerated data processing pipeline, enabling developers to create and optimize AI models with reduced reliance on real-world data.

A new study indicates that OpenAI's o1-preview artificial intelligence system may outperform human doctors in diagnosing complex medical cases. Research teams from Harvard Medical School and Stanford University conducted a comprehensive medical diagnostic assessment of o1-preview, showing significant improvements compared to earlier versions. According to the findings, o1-preview achieved a correct diagnosis rate of 78.3% across all tested cases. In a direct comparison of 70 specific cases, the system

Are you still struggling with handling various formats of unstructured documents? Fireworks AI has recently launched an innovative feature called 'Document Inlining' that can convert unstructured documents such as PDFs, screenshots, and images into structured text that large language models (LLMs) can understand. This provides chatbots and AI models with usable text content, significantly enhancing the efficiency and accuracy of AI document processing. The core of Document Inlining lies in its powerful composite capabilities.

On November 25, artificial intelligence company Anthropic announced the launch of a new open standard—the Model Context Protocol (MCP). This protocol aims to enhance the quality and relevance of model responses to queries by connecting AI assistants with data sources such as business tools and software. The release of MCP means that AI assistants can directly extract information from different data sources when handling tasks, thereby avoiding the issue of 'information silos.' In a blog post, Anthropic stated that while AI assistants have made progress in reasoning and quality,

NVIDIA's leadership position in the field of artificial intelligence is undeniable. Recently, the company's quarterly financial report revealed that NVIDIA sold $31 billion worth of AI systems in the last quarter. Jensen Huang, co-founder and CEO of the company, emphasized the importance of AI applications across various industries during a conversation with Wall Street analysts. In this discussion, Huang mentioned Google's NotebookLM tool, stating that he uses this AI tool 'very frequently'.

A remarkable startup is developing a groundbreaking AI system that promises to give creators unprecedented capabilities for generating cinematic worlds. The company, named Odyssey, employs a unique approach: having staff carry specialized camera systems to gather scene data from around the globe. Founded by autonomous driving experts Oliver Cameron and Jeff Hawke, Odyssey recently completed an $18 million Series A funding round led by EQT Ventures.

Apple Inc. recently launched the next generation AI system Ferret-UI 2. This cross-platform AI assistant has made significant breakthroughs in UI element recognition, achieving a test score of 89.73, far surpassing GPT-4V's score of 77.73, demonstrating exceptional performance. The most notable feature of this system is its intelligent ability to understand user intent. Unlike traditional coordinate-based interaction methods, Ferret-UI 2 can automatically locate and execute relevant actions based on users' natural language commands.