נטייה מוגברת לצריכת אנרגיה לתכנון בינה מלאכותית בערים

הליבה של טכנולוגיית הבינה המלאכותית היא אלגוריתמים מורכבים ועיבוד נתונים בקנה מידה גדול, תהליך המסתמך על יכולות חישוב חזקות. Take data centers for example. As a major infrastructure for synthetic process, server clusters in data centers need to work around the clock to store, analyze and operate on data. According to statistics, the energy consumption of data centers globally has increased several times in the past decade, and it is expected to continue to rise at a rate of 10%-20% annually in the future. כך גם לגבי מערכות תחבורה חכמות בערים. A large number of traffic cameras, sensors and computing peripherals require continuous power supply to collect and process real-time traffic data, so as to achieve optimal control of intelligent traffic lights and regulate traffic flow. Moreover, with the profound progress of smart city construction, more and more urban facilities will be equipped with artificial intelligence tasks. For example, smart street beacons can automatically adjust their brightness according to ambient light and pedestrian activity, and smart trash cans can monitor waste capacity and notify about timely cleaning. These seemingly small artificial applications, in the context of large-scale urban design, have a cumulative energy consumption that cannot be underestimated.