If you have been searching for AI books to help you with as good start then you have come to the right place these book covers the basics to high end stuff. Machine learning is the study of computer systems that learn from data and experience. It is applied in an incredibly wide variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential customer of machine learning. An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material.

Perel told ABC News that he initially thought a bomb had been detonated outside the building, adding he was "99 percent ok, I just have a bruise." After realizing what had happened, he quickly removed the memory card from the GoPro camera attached to the DJI drone. "While sitting at my desk I heard what sounded like a missile followed by a huge bang and glass all over me," he wrote in the YouTube video description. "Turns out someone lost control of their drone.

He was a musical innovator who revolutionised the world of jazz. Now the life and career of Miles Davis is being celebrated in a new film directed by, and starring, Oscar-nominated Don Cheadle. Mark Savage took the Hollywood actor to a record shop to find out how Davis's creative genius inspired the film.

Last month artificial intelligence technology reached a widely heralded milestone when a Google computer program called AlphaGo defeated the Go master Lee Se-dol at the ancient board game in a five-game series. Impressive, but can AliphaGo do this? On April 8, a computer program developed by Alibaba Group will attempt to predict the winner of a popular Chinese reality TV show by analyzing not potential moves on a glorified checkerboard but a range of complex and amorphous factors such as social media feedback, responses from a studio audience, and the "energy" of performers. The reality show in question is "I'm a Singer," an annual singing competition that pits well-known Asian pop stars--this week's season-ending finale features CoCo Lee, Hacken Lee, Jeff Chang and Joey Yung--against each other. Alibaba's cloud-computing arm, Alibaba Cloud, is using the competition to showcase a program it developed in-house called Apsara-I (Ai) that is able to gather insights from a multitude of inputs, can learn by analyzing data and even has the potential to understand human emotions, according to the company.

Until recently, Robyn Ewing was a writer in Hollywood, developing TV scripts and pitching pilots to film studios. Now, she is applying her creative talents toward building the personality of a different type of character: a virtual assistant, animated by artificial intelligence, that interacts with sick patients. Ewing works with engineers on the software program, called Sophie, which can be downloaded to a smartphone. The virtual nurse gently reminds users to check their medication, asks them how they are feeling or if they are in pain, and then sends the data to a doctor. As tech behemoths and a wave of startups double down on virtual assistants that can chat with humans, writing for AI is becoming a hot job in Silicon Valley.

William Hertling is the author of Avogadro Corp, A.I. Apocalypse, The Last Firewall, The Turing Exception, and the upcoming Kill Process. These near-term science-fiction novels explore the emergence of artificial intelligence (AI), the coexistence of humans and smart machines, and the impact of social reputation, technological unemployment, and other near-future issues. His novels have been called "frighteningly plausible," "tremendous," and "must-read." Hertling's Singularity Series novels have been endorsed by and received wide attention from tech luminaries including Harper Reed (CTO for the Obama Campaign), Ben Huh (CEO Cheezburger), and Chris Anderson (CEO 3DRobotics, former Editor-in-Chief Wired). His first novel for children, The Case of the Wilted Broccoli, was published in 2014. Hertling grew up a digital native in the early days of bulletin board systems. His first experiences with net culture occurred when he wired seven phone lines into the back of his Apple IIe and hosted an online chat system. A frequent speaker on the future of technology, science fiction, and indie publishing, Hertling has spoken at SXSW Interactive, Defrag, OryCon, University of Colorado, Willamette Writers Conference, and many other conferences. Did you start off wanting to become a writer, or did you stumble into it? WH: I very much stumbled into it, although, in retrospect, there were a few hints ahead of time.

The latest buzz about Panama Papers has shaken the world. As we all know the Panama Papers is a set of 2.6 TB of data that includes 11.5 million confidential documents with detailed information about more than 214,000 offshore companies listed by the Panamanian corporate service provider Mossack Fonseca. The Panama Papers has set an excellent example for the world about the importance of data science when it comes to analyzing big data. This leak makes us realize that appropriate approaches are needed to handle the challenges of data management for the present and the future. Let's take a deep dive into the Panama Papers and dig down the secret behind the biggest leak ever This leak contains 4.8 million emails, 3 million database entries, 21.5 million PDFs, around one million images and 320,000 text documents.

Although 11.5 million is a large number, most readers probably had no idea what went into drawing meaningful conclusions from that huge cache of documents. In fact, it took some 400 journalists at more than 100 news organizations an entire year to peruse the 2.6 terabytes of data in those documents and piece together the story of a company that helped the world's wealthiest people set up offshore bank accounts. In a lecture hosted by the University of Delaware Cybersecurity Initiative on Wednesday, April 6, computer scientist James Nolan used the Panama Papers as an example of the need for new machine learning techniques to address the problems associated with living in a data-rich, information-poor world. "Why can't we put that 2.6 terabytes through an algorithm and spit out relationships in a few hours?" he asked. Nolan emphasized the distinction between raw data which is collected from cameras, phones, sensors, satellites, written documents, cyber-logs, and other sources and information, which is the knowledge gained from studying data and teasing out relationships, resolving ambiguities, understanding scenes, and labeling events.

It takes a lot of work to create a good movie or TV character, and apparently much of the same work is now going into creating the characters behind AI assistants like Siri, Cortana, and Alexa. As this piece in the Washington Post points out, creative workers like poets, fiction writers, and comedians are fast becoming the ones responsible for making these assistants seem human--coming up with everything from human-sounding filler words to jokes to a background story and small personality details. It makes sense: if you want to get people to use these software-based assistants, they should be approachable, dynamic, and have consistent personalities. Throwing in some party tricks--such as Siri's ability to beat box--doesn't hurt, either. But just because your AI assistant has a carefully curated personality doesn't mean it's going to be useful. Making AI conversational interfaces is still very, very hard (though Baidu seems to be doing pretty well with it in China), as it can misunderstand what you're requesting, or may only be able to help in specific situations.

Last month, Google altered our technophobic opinions on AI by using its AlphaGo program to defeat a world champion at the ancient Chinese board game of Go. Although most of us that tuned into the YouTube livestreams of the face-off were likely puzzled by the images of a computer typing out moves to a game we'd never heard of, it was a far cry from the nightmarish depictions of AI we'd become accustomed to in film and literature. Now, China's version of Google, Alibaba, is doing its bit to further familiarize us with the technology. Instead of tasking it with a board game that boasts limitless possibilities, however, it's matching it up with a more pressing (and popular) task; predicting the winner of a TV singing contest. China's popular reality TV show I'm a Singer will be getting the AI treatment, with Alibaba hoping it can outwit the public, and judges, by guessing the winner of the popular contest's finale.