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Written by a robot: Will algorithms kill journalism?

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Writing content can be a headache for website managers. Producing it takes time, skilled manpower and money. In the current digital reality, brands, companies and small to midsize business owners must have a website in order to maintain contact with clients and attract new ones. In addition, they need to have an email distribution list and profiles on social networks. There are currently over one billion content websites across the globe.


Artificial Intelligence and the Future of Warfare

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Both military and commercial robots will in the future incorporate'artificial intelligence' (AI) that could make them capable of undertaking tasks and missions on their own. In the military context, this gives rise to a debate as to whether such robots should be allowed to execute such missions, especially if there is a possibility that any human life could be at stake. To better understand the issues at stake, this paper presents a framework explaining the current state of the art for AI, the strengths and weaknesses of the technology, and what the future likely holds. The framework demonstrates that while computers and AI can be superior to humans in some skill- and rule-based tasks, under situations that require judgment and knowledge, in the presence of significant uncertainty, humans are superior to computers. In the complex discussion of if and how the development of autonomous weapons should be controlled, the rapidly expanding commercial market for both air and ground autonomous systems must be given full consideration.


Will Machine Learning Consume Psychometrics?

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Indeed, assessment may be better than compared with a conventional test. Griffin's research has found that the tasks on his platform do not exhibit the between nation bias (or Differential Item Functioning) that questions on the standardised, international PISA assessment purportedly suffer from (Kreiner & Christensen, 2014). They are also robust to differences in background language (Vista, Care and Griffin, 2014). The fact that assessment takes a back seat here begs the following question. Of what real worth is the psychometric modelling in the background?


Behind the Scenes: Predicting the Early Onset of Brain Disease with BTT IoT Machine Learning

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Brain Tunnelgenix Technologies Corp (BTT Corp) is a med-tech company with offices in the US and Brazil. They have a biological discovery patent on the Brain Thermal Tunnel and are developing several solutions around this to help improve your health through continuous monitoring of your brain temperature. BTT treats brain temperature like a multichannel signal and uses this to perform analysis and pattern recognition to further insights into customers' health on a personalized basis. Join Jerry Nixon as he welcomes Robert Ortega, CTO of BTT Corp, and the team from Microsoft โ€“ David Crook and Yun Chou - as they discuss how by working together they developed an Azure IoT solution to help with brain thermal tunnel pattern recognition. If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:


Automated holidays: how AI is affecting the travel industry

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First you could book a flight online. Then came online travel agents. And now you might check in for your hotel via mobile, a computer could set the price, while a chatbot answers your queries. Some travel experts expect the first autonomous cargo flights to start within several years, while big data analysis is on the rise at internet-based firms like Expedia, Lastminute.com and Skyscanner. "We have to reinvent the place of the man in the system," says Fabrice Otaรฑo, chief data officer at AccorHotels group.


Demystifying artificial intelligence

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In the last several years, interest in artificial intelligence (AI) has surged. Venture capital investments in companies developing and commercializing AI-related products and technology have exceeded $2 billion since 2011.1 Technology companies have invested billions more acquiring AI startups. Press coverage of the topic has been breathless, fueled by the huge investments and by pundits asserting that computers are starting to kill jobs, will soon be smarter than people, and could threaten the survival of humankind. IBM has committed $1 billion to commercializing Watson, its cognitive computing platform.2 Google has made major investments in AI in recent years, including acquiring eight robotics companies and a machine-learning company.3 Facebook hired AI luminary Yann LeCun to create an AI laboratory with the goal of bringing major advances in the field.4 Amid all the hype, there is significant commercial activity underway in the area of AI that is affecting or will likely soon affect organizations in every sector.


Types of Artificial Intelligence

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Weak general AI (WGAI) is AI that's capable of learning a wide swath of things, even things it wasn't necessarily programmed to learn. It can then use these learned experiences to come up with creative solutions that can flummox even trained professional humans. Basically, it's as intelligent as a certain creature-- maybe a worm or even a mouse-- but it's nowhere near intelligent enough to enhance itself meaningfully. It may be par-human or even superhuman in some regards, but it's sub-human in others. This is what we see with the likes of DeepMind-- DeepMind's basic algorithm can basically learn to do just about anything, but it's not as intelligent as a human being by far.


IBM supercharges z/OS with Machine Learning

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IBM z Systems is an on-premise, private cloud platform used by major corporations to process billions of business-critical transactions per second around the globe. Machine learning combined with this wealth of transaction data can create true learning machines - with models that can dynamically adapt to help achieve smarter business outcomes. Built on Apache Spark, organizations can rapidly develop, test and deploy cognitive applications all unified within the secure environment of z Systems, for the data that drives the enterprise.


Setback for Google As Huawei Builds AI Assistant

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Alphabet Inc. subsidiary Google's (GOOG) artificial intelligence (AI) assistant is failing to catch on. A Bloomberg report this morning states that Chinese smartphone manufacturer Huawei, which uses Google's Android operating system for its phones, is developing its own voice-activated AI assistant. According to the report, Huawei's AI assistant, which will use local languages in China for communication, is targeted at the Chinese market and is intended to compete with the likes of Apple Inc.'s (AAPL) Siri and Amazon.com, This is the second such announcement after Samsung Electronics Co. Ltd (SSNLF), which also uses Google's mobile operating system in its phones, announced its own digital assistant last year. While Samsung has the largest number of mobile phone shipments, Huawei is ranked third. Huawei has also announced that it will pre-install Alexa, Amazon's voice assistant, on its Mate 9 phones.


EU Commission proposes rules governing robotics and AI

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In a new resolution, members of the European Parliament have proposed EU Commission rules governing robotics and artificial intelligence. The proposed rules will focus on issues of liability, the impact of robots on the workforce, a code of ethical conduct for developers, and the establishment of a European Agency for robotics and artificial intelligence. Liability issues are of growing concern, with MEPs pointing specifically to issues surrounding the growing market in self-driving cars. They have called for mandatory insurance and a supplementary fund to ensure compensation for victims of accidents involving autonomous vehicles. In the resolution, MEPs also stated a concern that the growing adoption of robots in the workforce could cause labor market disruption and proposed a'robot tax' on companies adopting robots to replace human workers.