This week in search, Google said they are launching their mobile only index within months and moving the desktop index as a secondary index. Google Penguin 4.0 is completely live now. Gary Illyes said Penguin can act to discount all your links, which can be devastating. Google said they are ready for those who try to manipulate Penguin 4.0. Google said Penguin looks at the link source and is not machine learning.

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The S.A.R.A. project consists of three elements never before used, says Cassell: conversational strategy classifiers, a rapport estimator, and a social reasoner. "The conversational strategy classifiers are five separate recognizers that can classify any one of five conversational strategies with over 80 percent accuracy." Simultaneously, S.A.R.A.'s rapport estimator gives the virtual assistant a readout of how well you and her are getting along. "That one uses a kind of A.I. algorithm that's brand new called a temporal association rule." The algorithm works in real time, calculating in the moment.

Nowadays people are -- or arguably should be -- aware of the advances, promises and challenges of artificial intelligence, which already controls computers, mobile phones, automobiles and just about everything else that has a battery or power cord. Along with artificial intelligence (AI) comes the need to make sure benefits aren't undermined by risks with something controlled by a computer algorithm rather than humans. It's an important but complex topic, explaining why the White House released a 58-page report, "Preparing for the Future of Artificial Intelligence," in advance of today's Frontiers Conference at Carnegie Mellon University and the University of Pittsburgh. "Developing and studying machine intelligence can help us better understand and appreciate our human intelligence," states the report's executive summary. "AI can augment our intelligence, helping us chart a better and wiser path forward."

It may be Tesla's Elon Musk who most often invites comparison to Marvel's superhero Iron Man – the alter ego of billionaire inventor Tony Stark – but it is Mark Zuckerberg who might be the first to bring Stark's technology to life. Memorably, the Facebook CEO sets himself annual goals such as learning Mandarin in 2010, eating only meat from animals he killed himself in 2011, or reading two books a month in 2015. In January, the Facebook founder said that his 2016 challenge would be to build an artificial intelligence-based personal assistant for his home. In his Facebook post announcing his aim, Zuckerberg said that "You can think of it kind of like Jarvis in Iron Man." In a Facebook conversation on Thursday, Zuckerberg invited suggestions for who should voice his real-life Jarvis (which, in the Iron Man and Avengers movies, stands for Just A Rather Very Intelligent System). Suggestions included actors Morgan Freeman, Benedict Cumberbatch and Paul Bettany – who voices Jarvis in the movies – as well as astrophysicist Neil deGrasse Tyson.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

Salience 6.2 also includes improvements in email processing, enabling systems to ingest email databases while stripping out headers and footers, eliminating duplicate emails, and analyzing email threads. Also included is improved named entity recognition, combining machine learning and known lists of people, places, and things. With these improvements, Lexalytics has increased its precision and recall scores, known as F1 scores, by up to 25 percent. The product has also been upgraded to better recognize people and place names from much of Asia, particularly China, Japan, and Korea. This follows Lexalytics's strong growth in that part of the world.

At first there were a lot of different opinions, but now, almost everybody agrees that big data was able to take over the whole business world. A lot of businesses are relying on it and improving the tools they use for taming big data on a daily basis. They all agree that the importance of big data is huge and that everyone who wants to stay competitive in the business world needs to pay a lot of attention to it. However, a lot of people are wondering what will be the next step? Will big data be able to grow in the future?

The currently ongoing Seizure Prediction competition--hosted by Melbourne University AES, MathWorks, and NIH--invites Kagglers to accurately forecast the occurrence of seizures using intracranial EEG recordings. This competition uniquely focuses on seizure prediction using long-term electrical brain activity from human patients obtained from the world first clinical trial of the implantable NeuroVista Seizure Advisory Sytem. In this blog post, you'll learn about the contest's potential to positively impact the lives of those who suffer from epilepsy, outcomes of previous seizure prediction contests on Kaggle, as well as resources which will help you get started in the competition including a free temporary MATLAB license and starter code. This competition is sponsored by MathWorks, the National Institutes of Health (NINDS), the American Epilepsy Society and the University of Melbourne, and organised in partnership with the Alliance for Epilepsy Research, the University of Pennsylvania and the Mayo Clinic. For many people with epilepsy, seizures reoccur at random times and greatly disrupt their cognitive and emotional state, their ability to work and drive, and their social and economic situation.