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Safety mechanism caused Trump escalator malfunction, UN says

BBC News

An escalator used by Donald Trump abruptly stopped because of a safety mechanism that may have been triggered by his videographer, the United Nations has said. The videographer had been travelling backwards up the escalator to capture the US president's arrival with First Lady Melania Trump and may have inadvertently triggered the safety function upon reaching the top, a UN spokesperson said. Trump jokingly referred to the incident during his Tuesday speech at the UN building, saying: If the First Lady wasn't in great shape, she would've fallen. The White House had raised concerns that someone deliberately stopped the escalator as the couple were stepping on. If someone at the U.N. intentionally stopped the escalator as the President and First Lady were stepping on, they need to be fired and investigated immediately, White House press secretary Karoline Leavitt posted on X after the incident.


An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability

Qiu, Jiaqi, Lin, Yu, Zwetsloot, Inez

arXiv.org Artificial Intelligence

The recurrent neural network and its variants have shown great success in processing sequences in recent years. However, this deep neural network has not aroused much attention in anomaly detection through predictively process monitoring. Furthermore, the traditional statistic models work on assumptions and hypothesis tests, while neural network (NN) models do not need that many assumptions. This flexibility enables NN models to work efficiently on data with time-varying variability, a common inherent aspect of data in practice. This paper explores the ability of the recurrent neural network structure to monitor processes and proposes a control chart based on long short-term memory (LSTM) prediction intervals for data with time-varying variability. The simulation studies provide empirical evidence that the proposed model outperforms other NN-based predictive monitoring methods for mean shift detection. The proposed method is also applied to time series sensor data, which confirms that the proposed method is an effective technique for detecting abnormalities.


7 innovative trends in lifts & elevators that will surprise you

#artificialintelligence

Elevators and lifts have been in use for a long time now. After years of advancements and evolutions, today's elevators and lifts are extremely modernized and innovative. Elevator cars, freight elevators, and passenger elevators can be commonly seen in almost every commercial building. The use of lifts and elevators has greatly increased in the past few years. They reduce the time of travel and make movement effortless. The lift designs are lavish and functional.


Germany tests facial recognition at train station

Daily Mail - Science & tech

German authorities have launched a six-month trial of automatic facial recognition technology at a Berlin railway station. More than 200 people volunteered to have their names and two photos stored for the project at Suedkreuz station, where three cameras film an entrance and an escalator. While German authorities are optimistic about the programme, security experts say that there is a high potential for errors, which could allow criminals to slip through the system. Three cameras have been installed at Suedkreuz station that will film an entrance and an escalator. Footage will automatically be scanned by a computer programme, which will compare it with photos stored in a database.


Internet Of Things And Machine Learning: Ever Wondered What Machines Are Saying To Each Other?

#artificialintelligence

KONE's mission is to improve the flow of urban life. The Finnish-headquartered elevator and escalator engineering and maintenance company is responsible for 1.1 million elevators worldwide. As well as offices and apartments, it runs people-moving machinery at airports, stadiums and exhibition venues. At Heathrow airport in London alone, it is responsible for moving 191,000 people daily, using 1,035 escalators, elevators and autowalks. This is a huge responsibility since breakdowns or faulty equipment can cause delays affecting thousands of people.


How AI And Real-Time Machine Data Helps Kone Move Millions Of People A Day

Forbes - Tech

KONE's mission is to improve the flow of urban life. The Finnish-headquartered elevator and escalator engineering and maintenance company is responsible for 1.1 million elevators worldwide. As well as office and apartments, it runs people moving machinery at airports, stadiums and exhibition venues. At Heathrow airport in London alone, it is responsible for moving 191,000 people daily, using 1,035 escalators, elevators and autowalks. This is a huge responsibility, as breakdowns or faulty equipment could cause delays affecting thousands of people.