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AI startup Creao AI has completed two rounds of funding, totaling several million dollars, led by top-tier venture capital firms such as Monolith. The company focuses on developing the next-generation operating system Agentic OS (AOS), centered around AI Agents, which can generate full-stack intelligent applications through conversation. Founder Cheng Kai stated that AOS will build a digital production network and improve the efficiency of multi-agent collaboration. Investors believe that AOS will reshape human-computer interaction and lower the technical barriers. The team comes from tech giants such as Meta and Apple, and the funding.

Julius AI secures $10M seed funding led by Bessemer, with multiple top firms participating. Founder Rahul Sonwalkar, a YC alum, pivoted to AI data analytics, creating a tool that allows natural language queries for instant visual results. Used by Harvard professors and 2M+ users, generating millions of charts daily. Ex-Twitter viral fame founder now focuses on data innovation.....

Julius AI, an AI data analytics firm, raised $10M in seed funding led by Bessemer Venture Partners. Founded by Rahul Sonwalkar post-Y Combinator, it enables natural language data analysis with 2M users and 10M+ visualizations. Used in Harvard Business School, it simulates analyst conversations for data insights.....

BAAI released RoboBrain2.0 (32B) and RoboOS2.0 framework. RoboBrain2.0 excels in spatiotemporal cognition and complex tasks, while RoboOS2.0 is the first embodied AI SaaS framework supporting lightweight deployment and multi-robot collaboration. Both are now open-source.....

Microsoft open-sources the Phi-4-mini-flash-reasoning model, specifically designed for edge devices, with inference efficiency improved by 10 times. It uses an innovative SambaY architecture to achieve efficient memory sharing, showing outstanding performance in long text generation and mathematical reasoning. Benchmark tests show its excellent long context understanding ability, with a Phonebook task accuracy rate of 78.13%. This model is suitable for educational and research fields and can run on a single GPU.

Google releases the open-source tool MCP Toolbox for Databases, simplifying the integration of AI agents with SQL databases. The tool connects to a database with just 10 lines of code and supports secure mechanisms such as connection pool management, authentication, and schema introspection. It is compatible with various Google Cloud databases. As an open-source project, it lowers the development barrier, but currently mainly supports Google ecosystem databases. Future expansion of compatibility may be needed. This tool has the potential to become a standard component for AI development, driving intelligent data processing.

Musk announces Grok4 AI model launch on July 11, sparking debates on AI ethics due to controversial 'politically incorrect' responses. New rules require multi-source analysis and evidence-based disputes.....

Recently, an AI Excel assistant called Shortcut has sparked heated discussions on social media. It enables users to effortlessly complete Excel tasks without writing complex formulas or VBA code through natural language processing (NLP) technology. The AIbase editorial team has compiled the latest information from social media to provide an in-depth analysis of Shortcut's powerful features and its potential impact on the fields of data processing and financial modeling. Shortcut: An Excel Revolution Driven by Natural Language

Recently, a research team from Stanford University conducted an interesting experiment exploring the role of artificial intelligence (AI) in medical diagnosis. They found that when AI transforms from a simple tool into a doctor's partner, the doctors' diagnostic accuracy improves by 10%. The study involved 70 licensed U.S. doctors, aiming to compare the effectiveness of AI with traditional diagnostic methods. Image source note: The image is generated by AI, and the image authorization service provider is Midjourney. In the experiment, doctors and AI jointly analyzed cases, with AI generating...

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

In just three years, U.S.-based artificial intelligence research company OpenAI has achieved remarkable performance with its popular chatbot, ChatGPT. Its annual recurring revenue (ARR) has exceeded the $10 billion mark. According to the latest data, OpenAI's ARR last year was approximately $5.5 billion, meaning this year it has grown by nearly 80%. This rapid development is truly impressive, highlighting the immense potential of the AI market. ARR refers to the expected annual revenue a company generates from subscription services or products.