A new breed of news producer has emerged thanks to the rapid growth of internet. These robots produce hundreds of pieces of content every day and compete with Reuters and other news companies in quick-twitch business financial journalism. The Associated Press is developing robot reporters for its business news team, and the Washington Post's robots cover minor league baseball and high school football games. They also cover earthquakes. The news robots cover not only breaking news but also Bloomberg and The Washington Post.
They can help you tell a great story
Robotics in newsrooms are on the rise. 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 are capable of writing up to 4,400 articles per day. The Los Angeles Times used robotic journalism to cover the story about an earthquake that occurred in California last March. It outperformed all other news outlets.
They can produce hundreds in a given week.
AI is becoming increasingly important in the world of journalism. Wordsmith is a content creation service that the AP has invested in. These services can also be provided by Automated Insights or Narrative Technology. Recently, a Los Angeles Times journalist used custom software to automatically generate a news story following a major earthquake. Their system generates thousands upon thousands of articles per day.
They can help journalists shift their 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, an online news aggregation site, can determine the credibility score of the sources and choose the lead story and related links. A product manager boasted that "no human editor could compete with the speed and accuracy of a robot."
FAQ
Who is the current leader of the AI market?
Artificial Intelligence (AI) is an area of computer science that focuses on creating intelligent machines capable of performing tasks normally requiring human intelligence, such as speech recognition, translation, visual perception, natural language processing, reasoning, planning, learning, and decision-making.
There are many types today of artificial Intelligence technologies. They include neural networks, expert, machine learning, evolutionary computing. Fuzzy logic, fuzzy logic. Rule-based and case-based reasoning. Knowledge representation. Ontology engineering.
There has been much debate about whether or not AI can ever truly understand what humans are thinking. However, recent advancements in deep learning have made it possible to create programs that can perform specific tasks very well.
Google's DeepMind unit in AI software development is today one of the top developers. It was founded in 2010 by Demis Hassabis, previously the head of neuroscience at University College London. In 2014, DeepMind created AlphaGo, a program designed to play Go against a top professional player.
Is AI the only technology that is capable of competing with it?
Yes, but not yet. There are many technologies that have been created to solve specific problems. None of these technologies can match the speed and accuracy of AI.
Is Alexa an AI?
Yes. But not quite yet.
Amazon has developed Alexa, a cloud-based voice system. It allows users to communicate with their devices via voice.
The technology behind Alexa was first released as part of the Echo smart speaker. However, similar technologies have been used by other companies to create their own version of Alexa.
Some examples include Google Home (Apple's Siri), and Microsoft's Cortana.
Who created AI?
Alan Turing
Turing was first born in 1912. His father, a clergyman, was his mother, a nurse. He was an excellent student at maths, but he fell apart after being rejected from Cambridge University. He discovered chess and won several tournaments. He worked as a codebreaker in Britain's Bletchley Park, where he cracked German codes.
He died in 1954.
John McCarthy
McCarthy was conceived in 1928. He was a Princeton University mathematician before joining MIT. There he developed the LISP programming language. He had laid the foundations to modern AI by 1957.
He died in 2011.
Statistics
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- 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)
External Links
How To
How do I start using AI?
You can use artificial intelligence by creating algorithms that learn from past mistakes. The algorithm can then be improved upon by applying this learning.
To illustrate, the system could suggest words to complete sentences when you send a message. It could learn from previous messages and suggest phrases similar to yours for you.
To make sure that the system understands what you want it to write, you will need to first train it.
You can even create a chatbot to respond to your questions. So, for example, you might want to know "What time is my flight?" The bot will respond, "The next one departs at 8 AM."
You can read our guide to machine learning to learn how to get going.