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The AI That Can Write Fake News Stories From Handful of Words

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The OpenAI research group has demonstrated artificial intelligence that can compose authentic-looking fake news articles from a few fragments of information. The OpenAI research group has demonstrated artificial intelligence (AI) that can compose authentic-looking fake news articles from a few fragments of information. After being fed a few sentences of sample text, the software successfully generates a persuasive, but completely false, seven-paragraph news story. The AI was trained to perform language modeling, or predicting the next word of a piece of text based on knowledge of all previous words. OpenAI's Jeff Wu suggested the software could have beneficial applications, like helping creative writers generate ideas or dialogue, or hunting for bugs in software code.


This New AI-Based Text Prediction Tool Can Write Better Than Many Humans

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Moving on with the future of artificial intelligence (AI), a text prediction tool can now create a whole article based on the command of one single sentence. Researchers believe that while it can simplify a lot of academic tasks, there are numerous potential threats attached to it as well. A non-profit artificial intelligence research organisation, OpenAI has recently introduced its model called GPT-2 which is developed to write content like humans. With a context of nearly eight million pages fed in it, the model can easily predict about the next word or even whole article after you insert your own sentence to start the topic. Once fed, it will start producing results which are surprisingly more accurate than the human imagination.


Compare, contrast your image recognition tool options - Coffee Talk: Java, News, Stories and Opinions

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Clarifai's API is another image recognition tool that doesn't require any machine learning knowledge prior to implementation. It can recognize images and also perform thorough video analysis. A user can start to make image or video predictions with the Clarifai API after they specify a parameter. For example, if you input a "color" model, the system will provide predictions about the dominant colors in an image. You can either use Clarifai's pre-built models or train your own one.


Chinese state media's latest innovation is an AI female news anchor

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China continues to make remarkable strides in making human journalists obsolete. State news outlet Xinhua announced yesterday (Feb. The anchor will make "her" debut during the upcoming Two Sessions political meetings at the start of March. The announcement comes after Xinhua debuted the world's first male AI news anchor, Qiu Hao, during China's annual World Internet Conference held in November in the town of Wuzhen. Xinhua and Sogou said that they also developed an improved male anchor called Xin Xiaohao, who is also able to stand up and gesticulate and has more natural mouth movements.


Ethics and Artificial Intelligence: 3 questions with Cécile... AXA

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Cécile Wendling also led a roundtable on governance tools for responsible AI during the conference organized by Impact AI on AXA's Java site on January 25, 2019. Artificial intelligence will impact insurance in several ways. First of all, it can help change the way insurance companies interact with customers and improve the customer experience. Take the example of damage occurring overnight during a major disaster. At a time when a traditional call center may be closed or busy, we can now imagine customers contacting a chat bot or voice bot to get instructions on the first steps to take in case of damage.


Should I Open-Source My Model? – Towards Data Science

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I have worked on the problem of open-sourcing Machine Learning versus sensitivity for a long time, especially in disaster response contexts: when is it right/wrong to release data or a model publicly? This article is a list of frequently asked questions, the answers that are best practice today, and some examples of where I have encountered them. The criticism of OpenAI's decision included how it limits the research community's ability to replicate the results, and how the action in itself contributes to media fear of AI that is hyperbolic right now. It was this tweet that first caught my eye. Anima Anandkumar has a lot of experience bridging the gap between research and practical applications of Machine Learning.


Gopher Protocol Completes Phase I in AI Based Robotics Research

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Scientists Developed an AI So Advanced They Say It's Too Dangerous to Release

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A group of computer scientists once backed by Elon Musk has caused some alarm by developing an advanced artificial intelligence (AI) they say is too dangerous to release to the public. OpenAI, a research non-profit based in San Francisco, says its "chameleon-like" language prediction system, called GPT–2, will only ever see a limited release in a scaled-down version, due to "concerns about malicious applications of the technology". That's because the computer model, which generates original paragraphs of text based on what it is given to'read', is a little too good at its job. The system devises "synthetic text samples of unprecedented quality" that the researchers say are so advanced and convincing, the AI could be used to create fake news, impersonate people, and abuse or trick people on social media. "GPT–2 is trained with a simple objective: predict the next word, given all of the previous words within some text," the OpenAI team explains on its blog.


Maintaining American Leadership in Artificial Intelligence?

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The future of content is autonomous London Business News Londonlovesbusiness.com

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SDL a global leader in content creation, translation and delivery, today calls on brands to rethink current content strategies, and prepare for a digital future where content supply chains are autonomous, machine-first and human optimized, for greater impact with worldwide audiences, across any language and device. Companies are struggling to handle the growing volume and velocity of content required to engage with global audiences. And it's expected to get worse: 93% say the content they produce will increase in the next two years. SDL's Enabling the Future of Content report addresses these challenges, offering insights on how companies can move towards an autonomous content supply chain of the future, capable of delivering any type of content to global audiences. Peggy Chen, CMO, SDL said, "Engaging with customers globally requires content, and lots of it.