Indian Government Approves Investment of 13 Billion Yuan for AI and Cybersecurity Development


Fuyao University of Science and Technology will add five new undergraduate majors in 2026: Future Robotics, Artificial Intelligence, Intelligent Vehicle Engineering, Biological Sciences, and Digital Economy, aiming to adapt to technological development and cultivate innovative practical talents. Among them, the Future Robotics major is the first cross-disciplinary program, which has attracted great attention. Previously, the university had already been approved for four undergraduate majors in 2025.
China Mobile launched the '1+3+9' multi-ecosystem intelligent service system at the AI-eSIM forum during the Mobile Cloud Conference, with the theme 'AI-eSIM: Pioneering a New Era'. The system aims to provide more secure, low-cost, and flexible intelligent connectivity and AI services. Deputy General Manager Chen Huida stated that this move responds to the country's 'Artificial Intelligence+' strategy, using AI-eSIM to build a multi-ecosystem service model, promoting intelligent upgrades for To-end users.
OpenAI launched the GPT-5.5-Cyber preview on Thursday, available only to vetted security teams. This cybersecurity-focused version of GPT-5.5 relaxes safety restrictions through targeted training, enabling authorized teams to more efficiently perform vulnerability identification, patch verification, and malware analysis, rather than enhancing offensive capabilities. The release follows Anthropic's launch of Claude My.....
British semiconductor company Arm announced that its first self-developed AI chip is expected to generate $2 billion in sales next year, as market demand is strong. This move marks a significant breakthrough for Arm in the AI field. As a subsidiary of SoftBank, Arm holds a key position in the global semiconductor market, with its technology widely used in electronic devices. The launch of the new chip comes at a time when AI technology is rapidly developing and the demand for high-performance computing is increasing.
According to data from the National Data Administration, by 2025, the total volume of AI training and inference data in China is expected to reach 199.48 EB, representing a year-on-year growth of 42.86%. Among this, inference data has exceeded training data for the first time, reaching 101.34 EB, indicating the wide application of AI across industries. At the same time, the data volume generated by system software and AI is expected to reach 26.92 ZB.