Search AI Products and News

China's CAC questioned Nvidia over security risks in its H20 chip, citing 'tracking' and 'remote shutdown' concerns. The move follows reports of vulnerabilities and coincides with US calls for chip tracking features.....

The Qwen3-30B-A3B model has undergone a major update, launching the new version Qwen3-30B-A3B-Thinking-2507. This new version has achieved significant improvements in reasoning capabilities, general abilities, and context length, marking that the model is not only lighter but also has stronger thinking capabilities. Compared to the Qwen3-30-A3B model open-sourced on April 29, the new model has made progress in multiple key areas. In terms of mathematical abilities, Qwen3-30B-A3B-Thin

Google AI system processed over 98 trillion tokens in June, more than double that of May. Tokens, as the basic unit for AI to understand text, their surge reflects the effectiveness of efficient reasoning models like Gemini Flash 2.5. This new model has 17 times the token processing capability of its predecessor, although the cost has increased 150 times, it significantly improves response accuracy, becoming a key factor in the sharp rise in data processing volume.

Openjourney integrates Google Gemini SDK for AI-powered image/video generation: 1) Imagen4 creates 1024x1024 HD images with MidJourney-style interface; 2) Veo3 generates 3-5s 720p videos from text, Veo2 animates static images; 3) Built with Next.js15 for smooth UX. Offers open-source alternative to MidJourney.....

In the 2025 International Mathematical Olympiad, AI models from OpenAI and Google both won gold medals, successfully solving 5 out of 6 problems, with results surpassing most high school contestants. Both companies used non-formal systems to directly tackle the questions, marking significant progress compared to Google's formal system from last year, which required manual conversion. Google questioned OpenAI for announcing the results before official evaluation, while OpenAI responded by stating that they hired former IMO medalists for third-party scoring. The controversy behind this technological breakthrough highlights the intense competition in the AI field.

Zhuji Power has received strategic investment from JD.com, accelerating the mass production of humanoid robots and the research and development of embodied intelligence technology. The company has launched the IDS Collaborative Innovation Strategy, serving innovators, developers, and system integrators by providing an open technology platform. A full-size humanoid robot is expected to be launched in 2025, with the ability to adapt to complex environments. The bipedal robot TRON1 has already been applied in areas such as inspection and security, and a developer kit has been released. The company's LimX VGM large model enables cross-platform operation capabilities, and more visual-language-action large model results will be released this year.

Lanxin Tech unveiled 'Lanxin Jiugong AI Energy Model' at the Chain Expo, featuring core technologies like a time-series prediction engine with 90% accuracy and an AI agent engine for real-time monitoring and strategy generation, now applied in Guangdong, Shandong, and Zhejiang.....

Meta accelerates AI infrastructure, targeting a 1GW 'Prometheus' supercomputer with 1.3M NVIDIA H100 GPUs (2 exaflops) by 2026, plus 5GW 'Hyperion' cluster. Plans $60-65B investment by 2025 for AI/data centers, competing with OpenAI/xAI. Commits to open-source and privacy despite environmental concerns.....

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.

Tencent open-sourced 'Hunyuan-A13B', an 80B-parameter MoE model with dynamic inference (130B active params). Supports 256K context, trained on 20T tokens. Achieves 87.3% on AIME2024 math, but comparisons show version disparities.....

Recently, Andreas Schierenbeck, CEO of Hitachi Energy, the world's largest transformer manufacturer, stated in an interview with the Financial Times that as large technology companies see a surge in power demand when training artificial intelligence models, governments need to take measures to limit these fluctuations to ensure the stability of the power supply. Image source note: The image is generated by AI, and the image licensing service provider is Midjourney. Schierenbeck said that the power demand fluctuations in AI data centers are extremely severe,

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

Recently, Hon Hai Precision Industrial Co., Ltd. (commonly known as Foxconn) submitted a trademark registration application for "FoxBrain" to the Trademark Office of the National Intellectual Property Administration. This AI inference large model is not only Foxconn's first attempt but also the first AI model of this type in Taiwan. According to public information, the international classification of this trademark is scientific instruments, and it is currently in the "waiting for substantive examination" status. "FoxBrain" is an AI inference large model launched by the Hon Hai Research Institute, covering data analysis

Google's latest sustainability report reveals a startling fact: within just four years, the company's data center power consumption more than doubled, rising from 14.4 million megawatt-hours in 2020 to 30.8 million megawatt-hours in 2024. If the timeline is extended to ten years, compared to an estimated 4 million megawatt-hours in 2014, Google's data center power consumption has increased sevenfold. Growing electricity demand: data centers are major energy consumers, efficiency improvements face bottlenecks. Data shows that Google's power issues are almost entirely concentrated in data centers.

On June 30th, the world's first trillion-parameter large model for the power generation industry, Qinyuan, developed independently by the State Energy Group, was officially released. This innovative large model, with its unique full-stack independent and controllable characteristics, marks an important step forward for the power generation industry into a new era of intelligent decision-making. The Qinyuan large model aims to integrate the diverse scenarios, high complexity, and strong professionalism of the power generation industry, fully utilizing the State Energy Group's globally largest installed capacity and massive data resources. The launch of this model not only creates a new engine for multi-energy coordination and dynamic optimization, but also establishes an electricity