AI models

Cambricon, a Chinese AI chip company, has received approval from the Shanghai Stock Exchange for a RMB 4 billion private placement. The funds will be used for AI chip and software platform development, particularly for large-scale AI models, and to supplement working capital. Cambricon’s Q1 2025 revenue surged by 4230.22% year-on-year, with net profit also significantly increasing. The company focuses on cloud, edge products, and IP licensing, aiming to build a comprehensive AI ecosystem.

At the 2025 World Robot Conference, Unitree Robotics CEO Wang Xingxing emphasized the need for robust and unified “embodied intelligence robot foundation models,” citing them as the industry’s core bottleneck. He believes current robotic model architectures are lacking, and the industry needs a “ChatGPT moment.” Unitree is focused on developing general-purpose humanoid robots for diverse tasks and sees unified models, affordable hardware, high-volume manufacturing, and accessible computational power as key priorities for the next 2-5 years.

Seven leading AI models were tested on the challenging 2025 Beijing Junior High School Entrance Examination, focusing on mathematics, Chinese essay, and English essay. While models excelled in essay writing, particularly in Chinese, and showed strong mathematical reasoning, particularly with LaTeX input, challenges remained in image interpretation for math problems. iFlytek Spark and Baidu Wenxin Yiyan performed particularly well across subjects, demonstrating AI’s growing capabilities in academic assessments.

Google launched the AI Edge Gallery, an app enabling on-device AI on smartphones. Sourced from Hugging Face, it allows users to run AI models offline with features like image-based question answering and text manipulation via a “Prompt Lab.” Performance varies based on device hardware and model size. The app is an experimental Alpha version, open-source under Apache 2.0, and encourages user feedback.