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A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

At the recent Baidu AI Day open day, Baidu Search announced its largest-scale overhaul in a decade. This reform covered the search box, search results page, and the entire search ecosystem. This move is an active transformation by Baidu to actively adapt to industry development trends and expand the boundaries of search capabilities. The upgraded Baidu Search box is now called the 'Smart Box,' significantly enhancing its input capabilities, supporting text input of over a thousand characters. At the same time, various input methods such as photography, voice, and video have been comprehensively improved and can directly access AI writing and AI image creation.

With the rapid development of artificial intelligence technology, Google's AI assistant Gemini Live has undergone a major upgrade. According to the latest information obtained by AIbase, Gemini Live is about to achieve deep integration with multiple Google apps, providing users with a more intelligent and efficient interaction experience. This feature not only enhances productivity but will also completely change the way users interact with the Google ecosystem. Seamless connection with Google apps, smarter operations are now more convenient. Latest news shows

Baidu officially released the ERNIE Bot 4.5 series models and made them fully open source. Users can experience this latest open-source technology immediately through ERNIE Bot (https://yiyan.baidu.com). This series includes multiple parameter configurations, such as Mixture of Experts (MoE) models with activated parameters of 47B and 3B, as well as dense models designed with 0.3B parameters, totaling ten different models. In terms of training and inference, the ERNIE 4.5 series models use PaddlePaddle deep learning.

Baidu's WENXIN series large models have recently been open-sourced on its PaddlePaddle platform, including dozens of latest models such as ERNIE-4.5-VL-424B-A47B-Paddle and ERNIE-4.5-300B-A47B-Paddle. Although Baidu has not actively disclosed this open-source initiative, updates on the PaddlePaddle platform show that these actions were concentrated between June 29th and June 30th, marking its latest move. A source within the company confirmed: official

Xiaomi officially launched its next-generation personal smart device - Xiaomi AI Glasses, which has attracted widespread attention due to its innovative payment function. With the increasing popularity of mobile payments, Xiaomi AI Glasses are equipped with the "Alipay Look-and-Pay" feature, offering users a new payment option when their hands are busy or when using a phone is inconvenient. When users need to pay, they can complete the scanning and payment just by using the glasses, which is both secure and convenient.

Ant Group officially launched the AI health application "AQ" on June 26, offering more than 100 AI functions such as health education, medical consultation, and report interpretation. It connects over 5,000 hospitals, nearly one million doctors, and nearly 200 AI avatars of famous doctors nationwide. The application is now available on major app stores. Han Xinyi, CEO of Ant Group, stated: Ant hopes that through AQ, everyone will have a trusted health assistant, becoming a helpful assistant for universal health and an accessible medical aid. Intelligent questioning and multimodal recognition address medical challenges. Facing nearly 75% of Chinese

ByteDance's Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

Artificial intelligence company Anthropic has announced a major new feature for its Claude chatbot, allowing users to build AI-powered applications directly within the app. This feature is a comprehensive upgrade based on the Artifacts function launched last year and is now officially available. Conversation as Development, the Barriers to Programming Are Gone Completely. In their official blog, Anthropic stated: By enabling this new interactive feature, users can start building their own applications within the Claude app. Just simply describe what you want to create inside