Microsoft's Smart Elevators Knows Where You Want to Go
In the ever increasing movement towards combining everyday routines with artificial intelligence, engineers of Microsoft Research has created an intelligent self-learning elevator that will respond and react in real time instead of being hand operated. The intelligent system is actually a self-learning algorithm and has been applied to an elevator that monitors the movement of people and understand their intentions.
For example, the smart algorithm learns the daily routines of different types of people throughout the day. According to the head of Microsoft Research Peter Lee, if you mentioned to your colleague to go for lunch on the second floor yesterday, the elevator can monitor your movements by sensing you moving towards the elevator, the algorithm will automatically take you to your colleagues floor without raising a finger.
For example, the smart algorithm learns the daily routines of different types of people throughout the day. According to the head of Microsoft Research Peter Lee, if you mentioned to your colleague to go for lunch on the second floor yesterday, the elevator can monitor your movements by sensing you moving towards the elevator, the algorithm will automatically take you to your colleagues floor without raising a finger.
Trend Themes
1. Artificial Intelligence in Everyday Routines - The intelligent self-learning elevator showcases the potential of artificial intelligence in everyday activities.
2. Real-time Automation of Manual Tasks - The self-learning algorithm in the elevator demonstrates the opportunity to automate manual tasks in real-time.
3. Understanding Intents and Predicting User Behavior - The elevator's ability to monitor movements and understand intentions highlights the trend of understanding user behavior.
Industry Implications
1. Smart Building Technology - The self-learning elevator aligns with the smart building technology industry, where automation and intelligence enhance user experiences.
2. Transportation and Logistics - The application of self-learning algorithms in elevators can disrupt the transportation and logistics industry, streamlining movement within buildings.
3. Artificial Intelligence and Machine Learning - The use of intelligent algorithms in elevators opens up opportunities for further advancements in the field of artificial intelligence and machine learning.
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