Glaucoma, the 'silent thief of sight,' threatens the vision of 26 million people in China. But now, a breakthrough has arrived. 'Xiao Qing,' a powerful AI tool, has been launched in collaboration with leading Chinese medical institutions to combat glaucoma and restore hope for patients. Recently, a 'Glaucoma Chronic Disease Management Center' was launched in Shanghai, a joint initiative of 12 top-tier hospitals including Fudan University Affiliated Eye, Ear, Nose, and Throat Hospital, Sun Yat-sen University Zhongshan Ophthalmic Center, and Beijing Tongren Hospital.

QQ Browser has launched a new feature called "AI Essay Tutoring," designed to help students improve their writing skills throughout the writing process, rather than simply providing answers. The launch coincides with the start of the new school term, when many students are experimenting with AI tools for homework, sparking widespread concern among parents and society.

Baidu's Wenxin Intelligent Agent Platform has announced full integration with the DeepSeek model, now available for free to all users. The Wenxin Intelligent Agent Platform, launched by Baidu, is a platform for building intelligent agents based on the Wenxin large model, aimed at helping users quickly create and deploy intelligent agent applications.

Recently, the research team at Meta Reality Labs has jointly released an innovative generative model called 'Pippo', which can generate a dense turnaround video with a resolution of up to 1K from a randomly taken photo. This breakthrough technology marks another significant advancement in the fields of computer vision and image generation. The core of the Pippo model lies in the design of its multi-view diffusion transformer. Unlike traditional generative models, Pippo does not require any additional inputs, such as fitted parameters.

Chicago-based artificial intelligence company Cognida.ai recently announced the successful completion of a $15 million Series A funding round, led by Nexus Venture Partners. This funding will help enterprises move beyond the AI pilot phase and achieve production-level solutions, delivering measurable business impact. Image credit: Image generated by AI, licensed from Midjourney. Currently, businesses are transitioning AI experiments into actionable solutions.

Recently, Meitu Image Research Institute (MT Lab) and Beijing Jiaotong University jointly proposed a technique called MEMatte (Memory Efficient Matting), which is a super high-resolution matting technology successfully selected for the top-tier conference in the field of artificial intelligence, AAAI 2025. The main highlight of the MEMatte technology is that it is a memory-friendly natural image matting framework that effectively reduces the computational overhead of the model. This innovation allows for operations in memory-constrained environments, such as commercial graphics cards and edge devices.

According to Intelligent Eruption, embodied intelligent agent operating system developer Yunjinwei recently announced the completion of an angel round financing of several million yuan, led by iFlytek. This round of financing will be used for core technology product development and market ecosystem construction. Founded in June 2021, Yunjinwei focuses on the development of embodied intelligent agent operating systems. The company was founded by Dr. Wang Wenyu, former general manager of the hardware division of Yitu Technology, and co-founder Dr. Zhou Chang was formerly responsible for visual large model development at Alibaba's DAMO Academy for the Urban Brain. The team has received support from Ningbo's Yaojiang Talent Plan and Yongjiang Talent Engineering Plan.

Recently, the location data and technology platform HERE Technologies, based in the Netherlands, announced a ten-year partnership with Amazon Web Services (AWS) worth a total of $10 billion. This collaboration aims to revolutionize the development of software-defined vehicles (SDVs) and drive innovation in the automotive industry. Image source note: The image is generated by AI, and the image licensing provider Midjourney.

AliCloud and leading large model enterprise Zero One Technology have announced an important strategic cooperation to jointly establish the "Industrial Large Model Joint Laboratory," marking deep collaboration between two tech giants in the field of AI. This cooperation will accelerate the transformation of large model technology into practical application scenarios and promote further integration of the industrial large model ecosystem. The newly established joint laboratory will cover three core areas: technology, business, and talent. By integrating the R&D advantages of both parties in the field of large models, the laboratory will focus on exploring next-generation foundational model technologies and will utilize AliCloud's capabilities.

In a significant innovation in the digital payment realm, payment solution provider iWallet has pioneered a voice AI payment system. This groundbreaking technology marks the official entry of the payment industry into the era of intelligent voice interaction. Currently, the payment industry still commonly uses traditional technologies such as Interactive Voice Response (IVR) and Dual-Tone Multi-Frequency (DTMF), which not only hinder user experience but also pose challenges in terms of Payment Card Industry (PCI) compliance. Addressing this pain point, the voice AI system developed by iWallet ensures PCI compliance.

Li Liyun, head of intelligent driving at Xpeng Motors, recently disclosed the company's autonomous driving development timeline for the first time, announcing plans to offer pseudo-autonomous driving capabilities on the Max series models by 2025, making Xpeng the first domestic car manufacturer to set a clear timeline for the rollout of autonomous driving. Li stated that Xpeng is currently on the 'eve of unmanned driving'. Based on a firm belief in the Scaling Law of autonomous driving, Xpeng has chosen a pure vision technology route for intelligent driving. He believes that with the accumulation of massive amounts of data and continuous improvement in cloud and vehicle computing power, the transition will be feasible.