a team of researchers from tsinghua university in china has developed an autonomous bike that can balance itself, swerve to avoid obstacles,detect and follow targets, and respond to voice commands. the riderless bicycle works using an electronic chip called the tianjic chip, which integrates two approaches to artificial general intelligence (AGI): computer-science-oriented and neuroscience-oriented.
‘using just one chip, we 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. our study is expected to stimulate AGI development by paving the way to more generalized hardware platforms,’ say the scientists in their research paper published on nature in july 2019.