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The global AI market is experiencing explosive growth. According to the latest research report, the global artificial intelligence (AI) market size is expected to soar from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate of 30.84%. This forecast highlights the significant impact of AI technology on the global economy over the next decade.

Market Growth Forecast - A latest industry report shows that the global artificial intelligence (AI) market size is expected to grow from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate as high as 30.84%. This figure highlights that AI technology will continue to maintain rapid development over the next decade.

The latest research report shows that artificial intelligence (AI) technology is accelerating commercialization worldwide, with the market size expected to exceed $5.26 trillion by 2035. This data indicates that the AI industry is on the verge of exponential growth, with finance and healthcare becoming the core drivers of this growth. The market size will see explosive growth, soaring from $273.6 billion in 2023 to $5.26 trillion by 2035, with a compound annual growth rate of 30.84%.

In San Francisco, a robotics company named XRobotics is gaining attention with its latest kitchen assistant -- xPizza Cube. This pizza robot is about the size of a stacked washer and uses machine learning technology to quickly and accurately spread sauce, cheese, and sausage on pizza. The rental fee for each machine is $1,300 per month with a three-year contract, capable of producing up to 100 pizzas in an hour. Additionally, xPizza Cube can be customized according to demand.

Recently, Hugging Face's open-source project LeRobot has drawn significant attention from the industry. This project provides developers with an efficient and easy-to-use AI development platform for robotics by integrating the most advanced machine learning algorithms and convenient toolchains, marking what could be considered a 'Transformer Moment' in the field of robotics. A unified interface that adapts to various hardware: One of the major highlights of the LeRobot project is its unified hardware interface design, which can seamlessly adapt to multiple types of robot hardware, including robotic arms, cameras, motors, and more.

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.

Kimi, the intelligent assistant under Moon's Dark Side Technology Co., Ltd., announced a major upgrade to its product interface. The core goal of this upgrade is to break the limitations of traditional dialog boxes, transforming Kimi from a simple chat tool into a more powerful and information-rich multimodal container.

Recently, the domestic embodied intelligent start-up "Lingyu Intelligence" announced the completion of a multimillion-dollar seed round financing. This round was led by InnoAngel Fund, with participation from Shuimu Alumni Seed Fund and Horizon Ventures. The company was co-founded by Jin Ge, an alumnus of the Department of Automation at Tsinghua University, together with his team. It is committed to creating a benchmark for embodied intelligent applications, accelerating the real-world implementation of robots in industrial and home scenarios. Lingyu Intelligence, leveraging its technical accumulation in the field of robot motion control, has built a general solution covering data collection from the human side, actuators on the machine side, to intelligent operation platforms, bridging from level L0 to L4 of intelligence.

ByteDance recently announced the official launch of its "Top Seed" program for recruiting top AI talent from the class of 2026. The program aims to recruit approximately 30 outstanding doctoral students. This initiative focuses on cutting-edge artificial intelligence, encompassing research areas such as large language models, machine learning algorithms and systems, multi-modal generation and understanding, and speech processing. ByteDance hopes to attract young talents with strong potential and passion in the field of large language model research. Unlike previous recruitment plans, this year's "Top Seed" program emphasizes no restrictions on academic background.

Anthropic recently released a comprehensive best practices guide for Claude Code, providing developers with a low-level, command-line interface (CLI)-centric tool to seamlessly integrate the Claude large language model into their daily programming tasks. Based on Anthropic's internal best practices, this guide emphasizes flexible, secure, and efficient coding patterns, offering valuable guidance for engineers looking to incorporate AI into their existing development environments.

Wikipedia recently announced the release of a dataset optimized for AI model training, in collaboration with Kaggle, Google's data science community platform. This initiative aims to reduce the scraping of Wikipedia data by AI developers, conserving the platform's bandwidth and server resources. The dataset includes structured Wikipedia information in English and French, offering high machine readability for AI developers to facilitate modeling, fine-tuning, and data analysis. The Wikimedia Foundation stated that this data...