Recently, Chengdu Huayi revealed on its interactive platform that it has successfully developed a specialized AI chip for the edge computing field. This chip boasts an AI computing power of up to 16 Tops and is currently undergoing limited trial use among several clients in specific industries. The new chip not only offers robust computing power but also demonstrates excellent performance in video encoding and decoding, supporting video processing capabilities of up to 8K resolution. This represents a significant technological advancement for applications such as video surveillance and smart homes.

The UK government has recently announced a large-scale investment in the field of artificial intelligence (AI), with plans to increase publicly controlled AI computing power by 20 times by 2030. Prime Minister Keir Starmer stated that this plan to ‘unleash’ AI aims to make the UK a leader in the global AI industry. Despite public concerns about the potential impact of AI, the government believes that this technology could bring up to £470 billion in economic growth. Image source credit: Image generated by AI, image licensed by Midjourney.

In 2025, Suzhou will fully implement the 'Top Ten Actions for Intelligent Manufacturing in Suzhou', which includes AI innovation application actions aimed at promoting the deep integration of AI and the manufacturing industry. This initiative was emphasized at the Suzhou New Industrialization Promotion Conference held on January 3. The conference proposed that Suzhou is committed to building a modern industrial system with world-class competitiveness, fully striving to create a globally leading 'Intelligent Manufacturing City'. According to Suzhou's development plan, it is clear that by 2026, the city aims to establish four trillion-level industries and fifteen super-hundred-billion-level industries, driving growth.

The Beijing Academy of Artificial Intelligence (BAAI) recently announced that it has collaborated with ecological partners to build and open source the Heterogeneous Unified Communication Library FlagCX, aiming to address the challenges faced by communication libraries in the era of diverse computing power and fill the significant gap in the open source software stack for diverse computing power. This initiative responds to the special action organized by relevant national departments for the governance of typical issues in 'Clear and Bright: Algorithmic Problems of Online Platforms', reflecting the important principles of correct algorithm orientation, fairness and justice, and transparency.

In the field of artificial intelligence, ByteDance is ramping up investments at an astonishing pace. According to the latest report from Zheshang Securities, ByteDance's capital expenditure on AI will reach 80 billion yuan in 2024, nearly equaling the total of the three giants Baidu, Alibaba, and Tencent. It is expected that by 2025, this figure will double to 160 billion yuan, with 90 billion yuan allocated for AI computing power and 70 billion yuan for data center infrastructure and networking equipment. This investment scale not only demonstrates ByteDance's ambition in the AI sector but also foretells a new development phase for China's AI industry.

In a recent Reddit Q&A, OpenAI CEO Sam Altman admitted that insufficient computing power is one of the main reasons the company is unable to frequently launch new products. He stated that the current AI models are becoming increasingly complex, and OpenAI faces many constraints and difficult decisions on how to allocate computing resources to implement numerous excellent ideas. Reports suggest that OpenAI has encountered difficulties in obtaining sufficient computing infrastructure.

Wenyuan Zhixing officially launched its new generation mass-produced Robotaxi — GXR on October 15. GXR draws on more than 1,800 days of public operation experience in the Robotaxi field, featuring L4 level public road driving capability, and can handle complex scenarios such as morning and evening rush hours, mixed traffic, and high-speed driving at night. The Wenyuan Zhixing GXR is equipped with comprehensive redundancy systems for architecture, F-O line control chassis, computing units, and braking, effectively avoiding single point failures. It also features the new HPC 2.0 high-performance computing platform.

Shen Dou, Executive Vice President of Baidu Group, announced the upgrade of the Baike Computing Platform 4.0 at the 2024 Baidu Cloud Intelligence Conference held today. This new version supports multi-core hybrid training and multi-core adaptation, achieving over 99.5% effective training duration on a ten-thousand-card cluster, significantly improving computing power usage efficiency. In the context of current computing power shortages, the upgrade of Baike 4.0 will help enterprises utilize computing resources more effectively and reduce operational costs. The focus of the upgrade is to enhance the capability of 'multi-core hybrid training', enabling it to achieve 9.

Wuwen Chip Quasar, an AI startup established just over a year ago, recently secured nearly 500 million in Series A financing, bringing its total financing to over 1 billion, making it the king of financing in the AI infrastructure sector. Its shareholders include state-owned assets, local funds, and notable venture capital institutions such as Shunwei Capital and Dacheng Financial Intelligence. One of the founders, Wang Yu, is the head of the Department of Electronics at Tsinghua University, and many team members have Tsinghua backgrounds with rich research experience. In 2016, DeepInsight Technology, incubated by Tsinghua NICS-EFC Laboratory, was acquired by Xilinx for 300 million.

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...

The upcoming iPhone 17 series from Apple is expected to feature 12GB RAM to meet the memory demands of future AI large models. The current iPhone 15 Pro and iPhone 16 series with 8GB RAM are insufficient for supporting large models with around 7 billion parameters. A model with 13 billion parameters requires at least 5GB of memory, and after the operating system and applications take up space, 8GB RAM fails to provide enough room. The 12GB RAM configuration could offer ample space for larger AI models.

NAVIAI 2.0, independently developed by the Zhejiang Humanoid Robot Innovation Center, is a humanoid robot that stands 1.65 meters tall, weighs 60 kilograms, boasts 41 degrees of freedom, and has an AI computing power of 275 Tops. It showcases exceptional performance and a highly anthropomorphic design, with the ability to execute smooth and natural movements. It can perform complex tasks such as giving speeches, making tea, and playing chess, demonstrating a very high level of anthropomorphic motion mapping execution ability. At the exhibition, it not only served as the host but also displayed its ability to quickly learn new movements and perform high-precision tasks in industrial settings.

NVIDIA has open-sourced two new large models, Nemotron-4-Minitron-4B and Nemotron-4-Minitron-8B, which utilize structured pruning and knowledge distillation for efficient training. This significantly reduces training requirements, minimizing data and computing power consumption. Compared to traditional methods, the new models reduce training token data by 40 times and save 1.8 times in computing costs. By optimizing Llama-3.18B, structured pruning simplifies the model structure, while knowledge distillation enhances performance.

As the developer of the Llama foundation language model, Meta points out that the computing power required for future model training will significantly increase, with the expected training amount for Llama 4 being 10 times that of Llama 3. In light of this trend, Meta emphasizes the importance of building training capabilities in advance to avoid falling behind in the competition. Meta has released Llama 3, which has 80 billion parameters, and its upgraded version Llama 3.1, which reaches 405 billion parameters, making it its largest open-source model. To meet future model demands, Meta is

The Hangzhou government has launched measures to support high-quality development across the entire AI industry chain, aiming to establish the city as a national AI industry hub. The initiative focuses on infrastructure development, ecosystem construction, empowering the real economy, industry chain growth, and talent support, proposing 14 specific actions. Key components include supporting computational technology breakthroughs, increasing finan....