Researchers at China’s Tsinghua University recently demonstrated an autonomous bicycle in Beijing that can not only balance itself, but avoid obstacles while doing so. Powered by the Tianjic chip, it’s capable of following certain trajectories and even respond to vocal commands. The chip merges computer science-based machine learning and human brain-inspired networks, which means it can perform several actions independently at the same time. Read more for a video and additional information.
Since Tianjic can easily communicate between networks, it balances itself, avoid obstacles in its path and obeys a number of verbal commands. This project aims to accelerate Artificial General Intelligence (AGI) development and pave the way for more generalized hardware platforms. Can this chip be used in motorcycles, cars, and other vehicles? We’d like to think so, but it will definitely be years until we see any commercial applications.
“Using just one chip, we can demonstrate the simultaneous processing of versatile algorithms and models in an unmanned bicycle system, realizing real-time object detection, tracking, voice control, obstacle avoidance and balance control,” said Chinese scientists at the Center for Brain Inspired Computing Research at Tsinghua University.