New breeds of news producers have emerged from the rapid growth and popularity of the internet: news robots. These robots produce hundreds and thousands of pieces every day, and they compete with Reuters or other news companies in quick-twitch commercial financial journalism. Robot reporters are being developed by the Associated Press for its business news team. The Washington Post's robots cover high school football and minor league baseball. They also cover earthquakes. The news robots don't just cover stories; they also aid Bloomberg and The Washington Post in keeping up with the competition.
They can ruin a story
Robotics are becoming more popular in newsrooms. Robots are becoming more popular in newsrooms to produce timely and accurate reports. For breaking business stories, the Associated Press employs an algorithm. In a typical week, human journalists could write 300 stories. News robots can write up to 4,400 articles in a day. Robot journalism was used last March by the Los Angeles Times in breaking the story on an earthquake in California. It beat out all other news outlets.
They can create hundreds or even thousands of content per week
AI is becoming more important in journalism. Wordsmith, a content-generation service, was purchased by the Associated Press. These services can also be provided by Automated Insights or Narrative Technology. An LA Times journalist recently used custom software in order to generate a news article after a large earthquake. Thousands of articles are generated every day by their system, which can produce as many as 2,000 articles per second.
They can help journalists shift focus to interviews, field work and analyses
Although there is no substitute to a human reporter in a newsroom, robots have become a reality. Google News Service, for example, can use sources' credibility scores to choose a lead story or related links. One product manager claimed that "no human editor can compete with the speed of a robot to edit your content."
FAQ
What are some examples of AI applications?
AI can be applied in many areas such as finance, healthcare manufacturing, transportation, energy and education. These are just a few of the many examples.
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Finance - AI can already detect fraud in banks. AI can detect suspicious activity in millions of transactions each day by scanning them.
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Healthcare - AI can be used to spot cancerous cells and diagnose diseases.
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Manufacturing - AI is used in factories to improve efficiency and reduce costs.
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Transportation - Self Driving Cars have been successfully demonstrated in California. They are currently being tested around the globe.
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Energy - AI is being used by utilities to monitor power usage patterns.
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Education - AI is being used in education. Students can, for example, interact with robots using their smartphones.
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Government - AI can be used within government to track terrorists, criminals, or missing people.
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Law Enforcement - AI is used in police investigations. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense - AI systems can be used offensively as well defensively. Artificial intelligence systems can be used to hack enemy computers. Defensively, AI can be used to protect military bases against cyber attacks.
AI is used for what?
Artificial intelligence is an area of computer science that deals with the simulation of intelligent behavior for practical applications such as robotics, natural language processing, game playing, etc.
AI is also known as machine learning. It is the study and application of algorithms to help machines learn, even if they are not programmed.
AI is widely used for two reasons:
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To make our lives easier.
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To be better than ourselves at doing things.
Self-driving automobiles are an excellent example. AI can do the driving for you. We no longer need to hire someone to drive us around.
Is Alexa an AI?
The answer is yes. But not quite yet.
Amazon created Alexa, a cloud based voice service. It allows users interact with devices by speaking.
First, the Echo smart speaker released Alexa technology. Since then, many companies have created their own versions using similar technologies.
These include Google Home and Microsoft's Cortana.
What does the future look like for AI?
Artificial intelligence (AI) is not about creating machines that are more intelligent than we, but rather learning from our mistakes and improving over time.
This means that machines need to learn how to learn.
This would mean developing algorithms that could teach each other by example.
Also, we should consider designing our own learning algorithms.
It's important that they can be flexible enough for any situation.
Who is the inventor of AI?
Alan Turing
Turing was created in 1912. His father was a priest and his mother was an RN. He was an excellent student at maths, but he fell apart after being rejected from Cambridge University. He started playing chess and won numerous tournaments. He returned to Britain in 1945 and worked at Bletchley Park's secret code-breaking centre Bletchley Park. Here he discovered German codes.
He died in 1954.
John McCarthy
McCarthy was born 1928. McCarthy studied math at Princeton University before joining MIT. The LISP programming language was developed there. In 1957, he had established the foundations of modern AI.
He died on November 11, 2011.
AI is good or bad?
Both positive and negative aspects of AI can be seen. On the positive side, it allows us to do things faster than ever before. We no longer need to spend hours writing programs that perform tasks such as word processing and spreadsheets. Instead, we ask our computers for these functions.
Some people worry that AI will eventually replace humans. Many believe robots will one day surpass their creators in intelligence. This means that they may start taking over jobs.
What does AI look like today?
Artificial intelligence (AI), a general term, refers to machine learning, natural languages processing, robots, neural networks and expert systems. It's also called smart machines.
The first computer programs were written by Alan Turing in 1950. He was interested in whether computers could think. He presented a test of artificial intelligence in his paper "Computing Machinery and Intelligence." The test tests whether a computer program can have a conversation with an actual human.
John McCarthy in 1956 introduced artificial intelligence. He coined "artificial Intelligence", the term he used to describe it.
Many AI-based technologies exist today. Some are simple and straightforward, while others require more effort. These include voice recognition software and self-driving cars.
There are two major categories of AI: rule based and statistical. Rule-based uses logic in order to make decisions. A bank account balance could be calculated by rules such as: If the amount is $10 or greater, withdraw $5 and if it is less, deposit $1. Statistic uses statistics to make decision. To predict what might happen next, a weather forecast might examine historical data.
Statistics
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
External Links
How To
How do I start using AI?
One way to use artificial intelligence is by creating an algorithm that learns from its mistakes. The algorithm can then be improved upon by applying this learning.
If you want to add a feature where it suggests words that will complete a sentence, this could be done, for instance, when you write a text message. It would learn from past messages and suggest similar phrases for you to choose from.
The system would need to be trained first to ensure it understands what you mean when it asks you to write.
To answer your questions, you can even create a chatbot. If you ask the bot, "What hour does my flight depart?" The bot will reply, "the next one leaves at 8 am".
If you want to know how to get started with machine learning, take a look at our guide.