Wikipedia employs AI to learn more about the issue it’s facing and consider possible solutions.

Wikipedia is a free online encyclopedia with open information that was built by a community of people known as Wikipedians. Anyone who has registered on the site can submit an article for publication; however, editing articles does not require registration. The name of the website is derived from the wiki, a server program that allows anyone to modify website content using their browser.

It has come to light that Wikipedia has decided to employ artificial intelligence to learn more about the issue it’s facing and consider possible solutions.

Here are some of the ways Wikipedia uses Artificial Intelligence:

1/ Wikipedia is an open-source online encyclopedia that anybody may contribute to. The non-profit website forever revolutionized the way we obtain information by crowdsourcing the building of an encyclopedia. It’s one of the top 10 most-visited websites on the web. However, it is not without problems. Anyone with the ability to edit Wikipedia can inadvertently add false information.

Computer scientist Aaron Halfaker describes how Wikipedia recently began implementing an AI system he designed to detect vandalism and bogus edits on articles using machine learning – it can identify common patterns in vandalous edits, such as a tendency for improper character spacing, according to a report for Wired.

On the one hand, this means less work for volunteers who monitor for suspicious changes, but Wikipedia expects the change will attract a flood of new editors.

It’s all about lowering the entry hurdle. Because Wikipedia relies on crowdsourcing for its content, it must establish rigorous guidelines for who can make modifications to key documents in order to prevent vandalism. On the other hand, it discourages many people who have excellent intentions and sound information.

Hopefully, more people will be devoted to authentic content by having smarter AI identification of flawed items and modifications. When the policing machines are clever enough, Wikipedia’s regulations for newbies could be relaxed a little. Some will, however, be concerned about whether machines will ever become intelligent enough to replace a major number of human editors.

2/ To combat the trolls, the Wikimedia Foundation teamed up with Jigsaw (the tech incubator previously known as Google Ideas) on a research project called Detox, which uses machine learning to identify comments that may be personal assaults. This project is part of Jigsaw’s open-source AI mission to tackle abuse on social media sites and web forums.

3/ According to Forbes, a Google Brain team trained software on how to summarize information from online pages and generate Wikipedia-style articles. Text summary turns out to be more challenging than most of us imagined. The efforts of Google Brain to get a machine to summarize text are slightly better than past attempts, but there is still work to be done before a machine can write with the cadence and flair that humans can. It turns out that we aren’t quite ready to have a machine generate Wikipedia entries automatically, but work is continuing to get us there.

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Since its founding in 1910, Japanese company Hitachihas been at the forefront of innovation with a philosophy to contribute to society through “the development of superior, original technology and products.” Today, Hitachi is a multinational conglomerate that offers operational products and services as well as IT-related digital technologies such as artificial intelligence and big data analysis. Its artificial intelligence and machine learning technologies are impacting not only their own services and products but how other industries such as healthcare, shipping, finance operate.

Hitachi AI Technology/H

Announced in 2015, H is Hitachi’s solution for a generalized artificial intelligence technology that can be applied to many applications rather than just built for a specific application. H supports a wide range of applications and can generate hypotheses from the data itself and select the best options given to it by humans. In one experiment, a robot with H technology was able to teach itself how to swing. As you can see in the video, the process started with inconsistent movement that doesn’t create an effective swinging motion. Over a short amount of time, H tested hypotheses, learned from data, and altered the robot’s motion to ultimately create a swinging motion that is more effective than humans produce. So far, H has been applied in 57 projects in 14 areas from a warehouse management system to retail sales, call centers, finance, water plants, and more.

H uses natural language processing and deep learning to process information from multiple sensors and data points to ultimately find patterns in the data that humans would miss. It does not require a human to set up a hypothesis in advance, and it can grow according to the situation. The technology searches for conditions that are relevant to business objectives based on the information it receives and then determines a method to optimize these objectives.

Hitachi has used its artificial intelligence expertise tofight cyberbullying in Japanese schools, to develop new service platform businesses, and to understand and make decisions based on demand fluctuations and kaizen activities in the workplace. By using AI to generate logical dialogue in Japanese, the technology also helps support enterprise decision-making for global companies.

Cancer screening

Hitachi hopes its AI technology will help fight cancer. In what appears to be the first trials of its kind, Hitachi is screening urine samples, that can be collected by individuals in their home, for signs of breast and colon cancer. The research of donated urine samples from cancer patients revealed 1,300 metabolites, of which 30 are considered biomarkers of the disease. Once the urine samples are analyzed, the technology looks for those biomarkers that indicate the body has cancer. While tests have been conducted for a couple of years, the most recent trial is to determine if room temperature samples are suitable for analysis. If the trials are successful, this can change the game for early cancer detection, save lives, and reduce the cost of treating cancer. People can mail in their urine test and not need to take time to visit the doctor’s office or experience more invasive testing procedures. Cancer screening through urine analysis is particularly beneficial for children who might fear needles and medical treatment.

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