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San Francisco AI startup Deep Cogito launches the Cogito v2 series of open-source large models, focusing on machine intuition and self-improvement capabilities. The series includes four dense and mixture-of-experts models with 70B to 671B parameters. The flagship 671B MoE model has a reasoning efficiency that is 60% higher than DeepSeek R1, and its performance is close to Claude4Opus. Its core technology involves internalizing reasoning paths into model weights through introspective reasoning, enabling continuous evolution while in use. Tests show that the model can

The intelligent agent economy is reshaping the future business ecosystem, with its core being a new economic form built on multi-agent collaborative architecture (IA). Three pillars support this transformation: Decentralized Identifiers (DID) ensure the credible existence of agents as digital citizens; standardized communication protocols (such as MCP) enable seamless collaboration among agents across domains; data containers combined with privacy computing technologies ensure secure data flow. Blockchain and smart contracts form the underlying trust system, driving the creation of a decentralized value network. Agent factories achieve scalable production of agents through modular manufacturing.

Recently, Tmall Elf officially announced the launch of the new Wow AI Sister Machine Smart Version. This new product features a large AI screen, offering excellent audio and visual experience and smart functions. Upon its release, it immediately attracted the attention of many consumers, and now it is available for reservation across all channels. The Wow AI Sister Machine Smart Version offers users three versions to choose from, meeting different needs. The 6+128GB version has a promotional price of 3,699 yuan, the 6+256GB version is priced at 3,999 yuan, and the long-lasting battery version is 4,399 yuan.

The Qwen-MT machine translation model is officially released. Qwen-MT is based on the powerful Qwen 3 model, and has been trained on a massive amount of multilingual and translation data. It combines reinforcement learning technology to significantly improve the accuracy and fluency of translation results. Developers can experience its fast and accurate translation capabilities directly through the Qwen API (qwen-mt-turbo). The core highlights of Qwen-MT include supporting bidirectional translation between 92 languages, covering more than 95% of the global population, and meeting a wide range of language communication needs.

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, 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, 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.

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...

Hugging Face, a leading open-source AI community platform, has launched a highly anticipated new feature: users can quickly see which machine learning models their computer hardware can run via platform settings. Users simply add their hardware information, such as GPU model, to their Hugging Face profile settings (located at the top right corner: Profile Icon > Settings > Local Apps and Hardware).

JFrog's recent "2025 State of Software Supply Chain Report" reveals critical security challenges facing software supply chains amidst the rapid advancement of Artificial Intelligence (AI). Based on a survey of over 1400 professionals and analysis of data from 7000+ customers, the report paints a concerning picture. It highlights a sharp increase in software supply chain vulnerabilities over the past year, with a 64% year-over-year increase in incidents involving exposure of 'secret' or confidential information.