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Building Safe A.I. - i am trask

#artificialintelligence

TLDR: In this blogpost, we're going to train a neural network that is fully encrypted during training (trained on unencrypted data). The result will be a neural network with two beneficial properties. First, the neural network's intelligence is protected from those who might want to steal it, allowing valuable AIs to be trained in insecure environments without risking theft of their intelligence. Secondly, the network can only make encrypted predictions (which presumably have no impact on the outside world because the outside world cannot understand the predictions without a secret key). This creates a valuable power imbalance between a user and a superintelligence. If the AI is homomorphically encrypted, then from it's perspective, the entire outside world is also homomorphically encrypted.


How AI Is Transforming the Workplace

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Move over, managers, there's a new boss in the office: artificial intelligence. The same technology that enables a navigation app to find the most efficient route to your destination or lets an online store recommend products based on past purchases is on the verge of transforming the office--promising to remake how we look for job candidates, get the most out of workers and keep our best workers on the job. These applications aim to analyze a vast amount of data and search for patterns--broadening managers' options and helping them systematize processes that are often driven simply by instinct. And just like shopping sites, the AIs are designed to learn from experience to get an ever-better idea of what managers want. A company can provide a job description, and AI will collect and crunch data from a variety of sources to find people with the right talents, with experience to match--candidates who might never have thought of applying to the company, and whom the company might never have thought of seeking out.


Nuru AI chatbot helps to solve day-to-day problems in Africa. ZDNet

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The African smartphone market is gaining rapid traction. According to predictions, smartphones sold this year will outnumber feature phone sales, and mobile penetration is far higher than line-based internet access. Currently, most people in Africa use text messages to send money with a service called M-Pesa from the largest tech start-up in Kenya. Now, chatbots could potentially replace text-based transactions altogether. Budapest-based Hungarian start-up UXstudio has created a chatbot called Nuru.


A robotic revolution in healthcare - BBC News

#artificialintelligence

A healthcare revolution is being predicted after the Edinburgh Centre for Robotics (ECR) received new funding. Researchers there are using artificial intelligence to create robots that will learn from their environment, each other - and us. The ECR is a joint initiative between Heriot-Watt University and the University of Edinburgh. Its new Robotarium will open later this year thanks to £8m of support from the UK's Engineering and Physical Sciences Research Council (EPSRC). Now the EPSRC is giving almost £1m more to develop four new robots that will use Artificial Intelligence (AI) to transform healthcare and emergency response.


Personalization advancement through machine learning

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Your consumers spend a lot of time exploring and analyzing suitable information―which books to study, which news articles to read, which songs to play, which movies to watch, which games to play, and so on. Imagine, what their experience would be like, if they don't need to pick anything on their own, but are presented with options of their liking―be it in education or media or entertainment. Here are some of the things they can be offered: • Adaptive text-books, in which content changes based on the pace of learning and comfort level of the reader. Such advancements reduce the overall time spent on information discovery, and increase the scope of effective information consumption (or learning). Domains such as education, publishing, entertainment, and advertisement mostly deal with granular digital assets (text, images, audio, video, multi-media, and so on), and are better prepared to enhance personalization even without creating new content from scratch.


Building a Scalable Big Data Machine Learning System with Spark and CDAP

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THE RISE OF THE INTERNET has led to the rise of e-commerce websites. With the mushrooming of the number of e-commerce sites today there is surge in demand by customers. In order to provide the most relevant recommendations to the visitors, ecommerce websites regularly rely on recommendation engines, which are complex data applications fueled by data ingestion, data preparation and machine learning processes. In addition to building machine learning models, recommendation engines require the ingestion and storage of user data in real-time, the training and storing of the models and their results, as well as the monitoring and improvement of the model performance. This webinar showcases the ways and means to use the Cask Data Application Platform (CDAP), a unified integration platform for big data, to operationalize Machine Learning models for your ecommerce website by simplifying data collection, testing and continuous improvement. About the Speaker:Russ Savage is leading the application engineering team at Cask, focusing on building end to end big data applications using the Cask Data Application Platform (CDAP).


Is Artificial Intelligence the New Personal Assistant? • Blog Marketeer

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Do you ever find yourself in this situation of having to speak to a personal assistant? The second I hear the words personal assistant, I immediately think wow this company must be important. Personal assistants have an association with very high up, powerful people within an organization. Or does having a personal assistant just seem more professional and established? The answer could be either, but the one thing I do know is that personal assistants are becoming easier to come by than ever before.


Artificial Intelligence's two-edged sword: better lives but fewer jobs

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Artificial intelligence (AI) has promised to relieve us of our dullest tasks and improve almost every aspect of our lives, from transportation to health care. But, by their very nature, the best tech ideas lead to incredible efficiencies, and if those efficiencies touch on people's jobs, it will take those jobs away. The Industrial Revolution replaced entire job descriptions, but more highly skilled and better-paying jobs eventually followed. That may not necessarily end up the case with AI, as deep learning helps machines replace people further up the talent chain. How many jobs could be affected?


Machines aren't growing more intelligent--they're just doing what we programmed them to do

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HBO's Westworld features a common plot device--synthetic hosts rising up against their callous human creators. But is it more than just a plot twist? After all, smart people like Bill Gates and Steven Hawking have warned that artificial intelligence may be on a dangerous path and could threaten the survival of the human race. They're not the only ones worried. The Committee on Legal Affairs of the European Parliament recently issued a report calling on the EU to require intelligent robots to be registered, in part so their ethical character can be assessed.


Voice Is the Next Big Platform, Unless You Have an Accent

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My mother waited two months for her Amazon Echo to arrive. Then, she waited again -- leaving it in the box until I came to help her install it. Any device that requires vocal instructions makes my mother skeptical. She has bad memories of Siri. "She could not understand me," my mom told me.