A 25-year-old book about science has some explaining to do. Machines Who Think was conceived as a history of artificial intelligence, beginning with the first dreams of the classical Greek poets (and the nightmares of the Hebrew prophets), up through its realization as twentieth-century science. The interviews with AI's pioneer scientists took place when the field was young and generally unknown. They were nearly all in robust middle age, with a few decades of fertile research behind them, and luckily, more to come. Thus their explanations of what they thought they were doing were spontaneous, provisional, and often full of glorious fun.

Finding customer service help online can be a pain. Filtering through a knowledge base to find the right answer to your question can be an exercise in fighting with nested frequently asked questions documents. Microsoft is aiming to help by making it easier for companies to create intelligent bots that can answer common questions. The QnA Maker, launched in beta on Tuesday, will let users train an automated conversation partner on existing frequently-asked-questions content. After that information is fed in, the service will create a bot that will respond to customer questions with the content from the knowledge base.

A motherboard change can look like a new PC, so you might well have needed to talk to Microsoft even if you had been using a Microsoft account. Either way, you should recognise that Windows 10 is fundamentally different from Windows 7 in at least two important ways. Some major features – including Cortana, Notifications and apps – originated in the smartphone world. As with other mobile operating systems, everything is maintained from the cloud. Second, Windows 10 is just one part of Microsoft's cross-platform ecosystem, which includes smartphones, tablets, the Xbox One range of games consoles, cloud-based services such as OneDrive and Office 365, and dozens of Microsoft apps on Android and Apple iOS devices.

Our analytics engine Kairos processes unstructured data from millions of sites, blogs, and social platforms like Twitter and Tumblr. Billions of public posts are then analyzed and classified across 25,000 topics, emotions, and demographics--turning noisy social data into insights. In order to create predictions around the elections using our analytics platform Kairos, we built 4 metrics: Awareness, Positivity, Negativity and Intent, of which only Negativity and Intent proved to be valuable in predicting elections. Negativity and Intent are natural language processing classifiers which take advantage of sentence structure as well as keyword matching. Then we modeled the data against survey polls, primary results, and survey pools to obtain weights of influence for each of the social indices.

When you create a new solution, in a new space, people naturally have questions. They want you to define the terms you're using, explain how you compare to solutions they're more familiar with, give examples of how the solution works, and so on. We've been cheerily fielding these kinds of queries over the phone, online, and at events in our quest to spread the TDaaS word. It's very fun, but uh, not very efficient--we realized we needed to outline all these answers in one skimmable place. So here we go, answers to the most frequently asked questions of Spare5.

Just as text messaging has become a mainstream form of communication, attention is shifting to the chatbot as the next big thing for information management and customer service. Chatbots are computer programs that interpret human speech or written inquiries and decide which information is being sought. Although chatbots have been around since the 1960s, they have evolved into tools for giving out details or taking orders, such as when people search for a job or buy a movie ticket. The chatbot picks up keywords from sentences and matches them with a database to create replies. Thanks to advances in artificial intelligence and big data processing technology, the machines today can analyze and understand a wide range of speech and produce the exact services sought, said Goshi Yonekura, chief technology officer of Tokyo-based AI developer Alt Inc.

Google uses a machine-learning artificial intelligence system called "RankBrain" to help sort through its search results. Wondering how that works and fits in with Google's overall ranking system? Here's what we know about RankBrain. The information covered below comes from three original sources and has been updated over time, with notes where updates have happened. First is the Bloomberg story that broke the news about RankBrain (See also our write-up of it).

NOTE: This story has been revised from when it was originally published in October 2015 to reflect the latest information. Yesterday, news emerged that Google was using a machine-learning artificial intelligence system called "RankBrain" to help sort through its search results. Wondering how that works and fits in with Google's overall ranking system? Here's what we know about RankBrain. The information covered below comes from three original sources and has been updated over time, with notes where updates have happened.

These FAQ's oftentimes raise more questions than they answer, so that the correct answer is often not found. With Automated Chat you can anticipate in a fast and accurate way Every website visitor can communicate with a virtual assistant (chatbot). All answers are pre-entered in a knowledge management system. This system is made so every question and answer thinkable can be recognised through sentence or word recognision. With a chatbot you can provide your website visitors with information or advice in a personal way, 24 hours a day.