Facebook started to slowly introduce its new deep learning platform called Caffe2go, which lets users capture and transfer video effects in real time using iOS or Android smartphones. Though the effects are pretty cool, the tech behind Caffe2Go is really interesting. Deep learning requires content to "be sent off to data centers for processing on big-compute servers," Facebook wrote, but with Caffe2go, the processing can be done from "the palm of your hand." The new platform is part of Facebook's AI effort that includes the Lumos app used to take out images that violate its standards. Google released Tensorflow framework to the open source community and Microsoft made its Cognitive toolkit available to developers.

You'll find the rest of the chapter in the full version of the IPython Cookbook, by Cyrille Rossant, Packt Publishing, 2014.

Language Technologies must be considered an area of particular relevance both at the academic and industrial levels. In recent years, several programs have been designed to promote research and development, entrepreneurship and innovation that have highlighted the key role of these technologies for progress and society. At the European level, we have witnessed a strong funding action in the field from the 7th Framework Programme to the H2020 that have resulted in the creation of what has been called the European Multilingual Digital Single Market. In Spain, for example, the government presented a Plan to Promote Language Technologies with an estimated investment of over 70 million euros. In 2015, a group of professors and researchers at the University of Seville faced the challenge to convene a workshop where experts from different countries could meet to analyze emerging trends in this field so that they could also envision the pace for the future.

Decades-old discoveries are now electrifying the computing industry and will soon transform corporate America. Over the past four years, readers have doubtlessly noticed quantum leaps in the quality of a wide range of everyday technologies. Most obviously, the speech-recognition functions on our smartphones work much better than they used to. When we use a voice command to call our spouses, we reach them now. We aren't connected to Amtrak or an angry ex.

The Carnival Vista is the newest ship in the Carnival Corp. fleet and has the latest tech on board. Ocean cruises are no longer about going off the grid to enjoy leisurely days at sea and on-board entertainment. Cruise ships are installing better Wi-Fi, adding tech-enabled wristbands and luggage tags, and even having robots greet passengers as they board the ship, all in an attempt to create a tech-rich environment. As times have changed and tech becomes a part of everyone's daily lives, passengers have become increasingly interested in staying connected to the outside world and for their lives to continue unabated on the high seas. Passengers also expect more than just a second-run version of a Broadway show--they want the outside world and a lot more.

Do you know why you can't hear the ugly ahem sounds on the podcast Data Science at Home? The ahem detector is a deep convolutional neural network trained on transformed audio signals to recognize ahem sounds. The network has been trained to detect such signals on the episodes of Data Science at Home, the podcast about data science at worldofpiggy.com/podcast But before proceeding, some concepts should be clarified. While the detector works for the aforementioned audio files, it can be generalized to any other audio input, provided enough data are available.

They are wise-cracking companions, able to communicate in more than six million languages. Others are bent on enslaving or destroying humanity, deeming themselves better, more rational caretakers of the Earth in light of our irrational behaviors. Pilot or garbage man, soldier or slave, hero or villain--robots have played every role imaginable in popular science fiction for nearly a century. In the 21st century, real-life robots inspired by their fictional counterparts are beginning to take starring roles in everyday life. Several companies, Google among them, are testing autonomous cars (unfortunately, there is no indication that they will be able to travel into the past or future anytime soon).

Artificial Intelligence vs. Driverless Cars: Which Tech Trend Has More Opportunity? Can tech reduce our regrets? Fujitsu leverages AI to develop highly accurate recognition technology for strings of handwritten ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

New research published in the journal Suicide and Life-Threatening Behavior shows how machine learning can help identify suicidal behavior using a person's spoken or written words. The technology was able to pinpoint which participants in the study were suicidal, mentally ill but not suicidal, or neither in the vast majority of cases. John Pestian and a team of researchers studied 379 patients from emergency departments and inpatient and outpatient centers at three locations between Oct. 2013 and March 2015. The patients, who were classified as suicidal, mentally ill but not suicidal, or neither (serving as the control group), answered standardized behavioral rating tests and took part in a semi-structured interview in which they were asked five open-ended questions such as "Do you have hope?" and "Are you angry?" to stimulate conversation. The researchers then pulled verbal and non-verbal language (e.g., laughs, sighs, etc.) from the gathered data and used machine learning algorithms to analyze it.

Not only are online retailers competing with other online stores and brick-and-mortar locations, but also the overall noise that is the Internet. We live in a world where consumer attention span is getting shorter and shorter: 40 percent of people abandon a website that takes more than three seconds to load, and the average shopping cart is abandoned more than 68 percent of the time. I'm hard pressed to find an ecommerce site that is not constantly scrambling to engage more and drive more sales. Technology is finally helping with those efforts in a big way. Artificial intelligence (AI), which has demonstrated its value in industries like marketing, healthcare and finance, is now making a splash in online commerce.