Institutional Artificial Intelligence AI System Predicts US Presidential Election: Test Results Are Different

The US presidential election is underway and there is no final result. Nowadays, artificial intelligence technology has developed rapidly. Some institutions have developed related systems, let AI predict the results of this year's election, but the results are not the same.

Institutional Artificial Intelligence AI System Predicts US Presidential Election: Test Results Are Different

According to reports from many foreign media such as CNBC, there are currently at least three to four artificial intelligence projects in predicting the results of this year's election. Among them, in a project called "UNO", the system predicted that Democratic candidate Hillary Clinton would be elected president.

Institutional Artificial Intelligence AI System Predicts US Presidential Election: Test Results Are Different

This system uses a technology called "cluster intelligence" that is equivalent to having multiple intelligent programs work together to handle complex problems.

The UNO system has had excellent performance before. In the Oscars at the beginning of the year, the artificial intelligence system's prediction accuracy rate was as high as 76%, surpassing the "manual" media such as "Rolling Stone" and "Los Angeles Times".

However, another AI system called "MogIA" predicts that Republican candidate Trump will be elected. The developer of this system is Sanjiv Rai, founder of India's new technology company Genic.ai.

Institutional Artificial Intelligence AI System Predicts US Presidential Election: Test Results Are Different

The AI ​​system collects more than 20 million data from Google (microblogging), Facebook, Twitter, YouTube and other platforms, and analyzes various information to predict the results of this year's US election. It is reported that this system was born in 2004, so with the long-term development of "intelligence" is getting higher and higher.

Previously, the MogIA system had successfully predicted the final outcome of the competition between the Democratic and Republican candidates.

The data collected by this system includes Twitter tweets and user interaction activities of the Facebook Live live video service. On the index of Internet users' interaction activities, Trump's popularity even surpassed Obama, who was elected president in 2008, by 25%.

Microsoft's Bing search is not "free", Bing once predicted that Hillary's probability of being elected president of the United States was 87%, then the probability increased to 89%, and Trump's probability of being elected was only 10%.

Along with the results of the US presidential election, it was finally announced at noon today that the final performance of these AI systems belonging to different manufacturers in predicting the US election will also be divided.

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