A new bot called Wonder will remember anything you want, and then return the information you need via a text message. Once you enter your phone number on the Wonder website, the bot will send you a text explaining how it works – and then you just reply back with the information you want it to store. Using CUDA and GPUs in the Amazon cloud to train the deep learning models, the bot is able to understand the texts coming in and remember the things you're wondering. When you're trying to remember something later, you ask Wonder a question, like "When's the next company meeting?," What's my wife's favorite Starbuck's order?" or anything else you previously told the bot to remember.

Pop culture's many takes on artificial intelligence New technique using artificial intelligence to read satellite images could aid efforts to eradicate ...

After birthing a virtual assistant that knows a little of everything, SRI International is working on ones that know a lot about just one thing. The nonprofit research center is arguably best known in the tech world for spinning off Siri, whose virtual assistant tech Apple acquired in 2010. SRI also incubated Tempo, an AI-driven calendar app that Salesforce bought last year. Now, SRI believes it can infuse AI into even more settings--shopping, banking, travel, business-to-business applications, and so on--allowing for deeply knowledgeable chatbots that know how to carry a conversation. The goal, says William Mark, SRI's president of information and computing services, is to have assistants that are much better at specific tasks than a general-interest assistant like Siri.

Deep Learning is a new area of Machine Learning research that has been gaining significant media interest owing to the role it is playing in artificial intelligence applications like image recognition, self-driving cars and most recently the AlphaGo vs. Lee Sedol matches. Recently, Deep Learning techniques have become popular in solving traditional Natural Language Processing problems like Sentiment Analysis. For those of you that are new to the topic of Deep Learning, we have put together a list of ten common terms and concepts explained in simple English, which will hopefully make them a bit easier to understand. We've done the same in the past for Machine Learning and NLP terms, which you might also find interesting. In the human brain, a neuron is a cell that processes and transmits information.

OK, they didn't literally run for any hills. But the EFF wrote a very panicked blog post warning of the dangers to come if an AI trained to hack wasn't parented properly. The histrionic post made a few headlines, but missed the point of the competition entirely. If the AI playing Def Con's all-machine Capture the Flag had feelings, they would've been very hurt indeed. The seven different AI agents were projects of teams that hailed from around the world, coming together to compete for a 2 million purse.

Pop culture's many takes on artificial intelligence

Stanford scientists have found a low-cost method to map poverty in areas previously devoid of data, by combining satellite images and making use of machine learning. These improved poverty maps could help organisations and policymakers distribute funds more efficiently and evaluate policies, researchers said. One of the biggest challenges in providing relief to people living in poverty is locating them. The availability of accurate and reliable information on the location of impoverished zones is surprisingly lacking for much of the world, particularly in African countries. Aid groups and other international organisations often fill in the gaps with door-to-door surveys, but these can be expensive and time-consuming to conduct.

Pop culture's many takes on artificial intelligence New technique using artificial intelligence to read satellite images could aid efforts to eradicate ...

This online machine learning course is perfect for those who have a solid basis in R and statistics, but are complete beginners with machine learning. The rest of the course is dedicated to a first reconnaissance with three of the most basic machine learning tasks: classification, regression and clustering. In this first chapter, you get your first intro to machine learning. After learning the true fundamentals of machine learning, you'll experiment with the techniques that are explained in more detail in future chapters. You'll learn how to assess the performance of both supervised and unsupervised learning algorithms.

On this week's NFV/SDN Reality Check we have an interview with Argyle Data to discuss how mobile operators are using big data and machine learning technologies for real time fraud detection, prevention and profit. But first, let's take a look at some top headlines from across the space. AT&T this week announced plans to partner with Intel to work on the telecom giant's cloud network initiatives. The partnership calls for work on optimizing network functions virtualization packet processing efficiency for AT&T's Integrated Cloud platform, defining reference architecture and aligning NFV roadmaps in a move to speed AT&T's ongoing network transformation. AT&T has said its Integrated Cloud platform is where the carrier runs VNFs using OpenStack software at its core, with the carrier having set up 74 AIC physical locations in 2015, with plans for 105 by the end of this year and adding "hundreds more" by 2020.