Core Insights - Tsinghua University has developed a fully flexible artificial intelligence chip, filling a gap in flexible electronics technology and providing dedicated, scalable, and low-power hardware support for AI applications [1][2] Group 1: Technology and Innovation - The flexible electronic devices are transforming applications in wearable medical technology, implantable neural recording, human-computer interaction, and the Internet of Things due to their ultra-thin, lightweight, customizable, and low-cost advantages [1] - The FLEXI chip, designed for edge intelligence acceleration, utilizes low-temperature polycrystalline silicon CMOS technology, combining lightweight, low-cost, and high energy efficiency [1] - FLEXI can integrate up to approximately 265,000 transistors and achieves stable, high-speed, and parallel dot product operations through a cross-layer collaborative optimization strategy [1] Group 2: Performance and Reliability - Experimental results indicate that the FLEXI chip can withstand over 40,000 bending cycles at a 1mm radius and 180° fold without significant performance degradation [2] - The chip demonstrates high reliability, excellent energy efficiency, high yield, and good scalability while maintaining stable, error-free operation under high-frequency computing, extreme mechanical stress, and accelerated aging conditions [2] - FLEXI exhibits over six months of long-term stability, laying a solid foundation for the application of flexible electronic devices in mobile healthcare, embedded intelligence, and other edge computing scenarios [2] Group 3: Academic Recognition - The research findings were published in the prestigious journal Nature on January 28, under the title "A Flexible Digital In-Memory Computing Chip for Edge Intelligence" [2]