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At the recent 3rd China AIGC Industry Summit, Fenbi AI received two significant awards: "2025 Notable AIGC Enterprise" and "2025 Notable AIGC Product", recognizing its outstanding achievements in vocational education. Hosted by QuantumBit, the summit, themed "Everything is AI," attracted numerous experts and professionals from the technology and education sectors. Fenbi's CTO, Jianhua Chen, delivered a keynote speech titled "Reshaping and Practicing Intelligent Education: The Landing Path of Large Models".

Toronto-based startup Xaba, focused on developing 'synthetic brains' for industrial robots via a no-code approach, announced a $6 million seed funding round led by Hitachi Ventures. The funding will accelerate deployment of its AI-powered robots and cognitive industrial control systems. Image note: Image generated by AI, licensed from MidjourneyX.

As robotics technology advances, industries are increasingly adopting robots to automate various strenuous tasks. According to the International Federation of Robotics (IFR), over 540,000 new industrial robots were installed globally in 2023, bringing the total number of active industrial robots to over 4 million. While traditional industrial robots excel at repetitive tasks, they still face challenges in performing delicate tasks, handling fragile materials, and adapting to changing conditions. For example, robots in restaurant kitchens may cause more disruption than assistance.

According to a recent market research report, the industrial robot market is projected to reach $291 billion by 2035, a significant increase from the current market value of $55.1 billion. The report cites automation, advancements in artificial intelligence, and the rise of Industry 4.0 as key drivers of this growth. The automotive and electronics industries will capture major global market share, with East Asia identified as a particularly strong growth area, currently holding two-thirds of the market. The report also notes that growing global labor shortages and consumer demand for faster, more efficient product delivery are contributing factors.

At a press conference held in Guangzhou, the Leading Group Office for Innovation and Development of Guangdong's Artificial Intelligence and Robotics Industry showcased 8 AI industry large models, along with 30 application scenarios, 29 solutions, and 13 smart terminal products. These innovative achievements mark a significant step forward for Guangdong in the AI field, aiming to better integrate artificial intelligence into various industries. Qu Xiaojie, Deputy Director-General of the Guangdong Provincial Department of Industry and Information Technology, noted at the press conference that these 8 large models have already been initially applied in several relevant fields and have achieved...

Once a respected business publication, Quartz was recently sold off cheaply after a confusing period of low-quality AI-generated content, resulting in the near-complete dismantling of its editorial team. This serves as a cautionary tale, highlighting the potentially devastating consequences of the media industry's uncritical embrace of poor-quality AI. As recounted by co-founder Zach Seward (now head of AI initiatives at the New York Times) in a blog post, Quartz has changed hands several times since its founding in 2012. Last week, it was sold to Canadian software company Redbri.

SenseTime announced that its 2025 SenseTime Technology Exchange Day will be held on April 10th at 2 PM. SenseTime's SenseCore AI infrastructure is set for a major upgrade, promising exponential growth in its technological capabilities. This upgrade will significantly enhance its capabilities, particularly in AI infrastructure, embodied AI research and development, and the application of industry-specific large models. Since its launch in 2021, SenseCore has successfully integrated nationwide resources as a new type of AI infrastructure.

Yuanding Intelligent recently completed a strategic financing round of nearly 1 billion RMB (approximately $100 million USD). This round was led by Fluidra, a major player in the pool industry, with participation from new investor Yunqi Capital and existing investors. This financing marks a strategic turning point for Yuanding Intelligent, enabling it to penetrate global professional pool channels and transition from online leadership to full-channel penetration. Fluidra, with over 50 years of industry experience and operations spanning 47 countries, boasts well-known brands across Europe and America. Its global distribution network and other resources will support Yuanding Intelligent's transformation. Image Note: Image generated by AI, image licensing provided by Midjourney.

On April 1st, the Guangdong Provincial Government held a press conference in Guangzhou to announce the "Several Policy Measures to Promote the Innovative Development of the Artificial Intelligence and Robotics Industry in Guangdong Province" (hereinafter referred to as the "Policy Measures"), officially unveiling a series of support policies aimed at accelerating the development of the artificial intelligence (AI) and robotics industries. The conference revealed that Guangdong will focus on creating typical application scenarios, concentrating on the deep integration of AI and robotics in key areas, and fully launching the "AI+" and "Robotics+" action plans. This policy not only highlights Guangdong's commitment to emerging technologies...

The Chengdu Municipal Bureau of Economy and Information Technology recently held a media briefing to release the "2025 Chengdu Artificial Intelligence Industry Chain Development Work Points." The plan outlines Chengdu's commitment to fostering the development of the AI and robotics industry, aiming for a core industry scale of 130 billion yuan by 2025, with an annual growth rate exceeding 30%. This initiative seeks to establish Chengdu as a leading national hub for AI and robotics. To achieve this goal, Chengdu will focus on the three elements of AI: computing power, algorithms, and data. Firstly, in terms of computing power...

IFLYTEK Group announced the official launch of the IFLYTEK Foshan Artificial Intelligence Industrial Base. The base will focus on scenario applications and ecosystem cultivation to promote the upgrading and development of the regional AI industry. Handuan Technology, Shenglin Qijing, Lingdong Future, and Zhongyuan Huiko signed agreements with IFLYTEK, becoming the first batch of companies to enter the IFLYTEK Foshan Artificial Intelligence Industrial Base.

Siemens recently announced an expansion of its Industrial Assistant, introducing an advanced maintenance solution based on generative AI. This tool, called "Siemens Industrial Assistant," aims to help customers leverage generative AI across the entire value chain, from design and planning to engineering, operations, and service. The assistant notably supports engineering teams in generating Programmable Logic Controller (PLC) code in their native languages. This process is estimated to increase SCL code generation speed by 60%, while simultaneously reducing errors and lowering reliance on specialized expertise. This innovation...

UK Minister for Education, Peter Kyle, recently called for a continued push toward the government's proposed AI copyright legislation, urging against resistance to the reform. Kyle stressed the government's commitment to progress, not stagnation, amidst strong opposition from the creative industries. These opponents fear the new regulations could harm artists' rights and stifle creativity. The rapid advancement of AI technology in the current digital age presents new challenges to traditional copyright law. Creative industries...

A powerful newcomer has emerged in the fintech arena. The Fin-R1 model, jointly developed by Professor Liwen Zhang's team (SUFE-AIFLM-Lab) at the School of Statistics and Data Science, Shanghai University of Finance and Economics, and Caiyue Xingchen, has been officially open-sourced, attracting significant attention due to its impressive performance. This financial specialized large language model, based on Qwen2.5-7B and trained with reinforcement learning, achieves leading performance across multiple financial benchmark tests. Remarkably, Fin-R1 surpasses most models of comparable size, and even many significantly larger models, despite having only 7B parameters.