In the literature there are multiple machine learning techniques that have been used successfully in clinical data analysis. However, there is little information about the parameter configurations, the required data transformations to prepare the data used to train and evaluate the models and the impact of these decisions in the accuracy of the predictive model. This research tackles these issues, using the clinical data of MIMICII to build features from physiological measure patterns to predict the decease of patients inside the hospital in the next 24 hours, building predictive models based on Logistic Regression, Neural Networks, Decision Trees and Nearest Neighbors. In particular, we use data associated to physiological measures of 3220 patients, where 2385 left the hospital alive and 835 passed in the hospital. The results show that the chosen strategy for building features from physiological data gives good results with Neural Networks and Logistic Regression with radial kernel models and the parameter configuration plays a fundamental role in the models performance.

However achingly slow, the bright technological future painted by science fiction is beginning to emerge. Autonomous cars have begun to hit the roads, and friendly artificial intelligence (AI) could represent humanity's first contact with alien life. Not too long from now, we may be able to have our clothes or even prosthetics customfitted through the use of 3D scanning and printing. One company working to make this last premise a reality is Manhattan-based Body Labs, one of the few firms developing the technology for digitally and accurately representing the human form. Whether it be for designing personally-tailored clothing or realistic virtual reality avatars, Body Labs uses AI and machine learning to "collect, digitize and organize all of the data and information related to human body shape, pose and motion."

We are entering an extremely critical time in history where society will change dramatically – how we work, live and play. Science fiction is morphing into reality. Flying cars exist, cars that drive themselves are on the road, and artificial intelligence that automates our lives is here. And you? what do you think about?

When reflecting on the societal implications of technology, there is always a temptation to be overly optimistic or pessimistic. Nowhere is that more obvious than in the field of artificial intelligence. In scientific literature, fiction books, film, and television, most depictions of AI have presented either a utopian or dystopian future. The IEEE AI and Ethics Summit, to be held 15 November in Brussels, will take a more realistic look at the ethical implications of artificial intelligence. The speakers include not only technologists but also philosophers, social scientists, legal experts, and policymakers.

Huawei will provide a US 1 million fund to UC Berkeley for research into many subjects of interest in AI, including deep learning, reinforcement learning, machine learning, natural language processing and computer vision. Through close cooperation, the Research and Development (R&D) teams of Huawei and the Berkeley Artificial Intelligence Research (BAIR) Lab will strive to make significant breakthroughs in AI theories and key technologies. The two parties believe that this strategic partnership will fuel the advancement of AI technology and create completely new experiences for people, thus contributing greatly to society at large. As one of the world's leading higher education institutes, UC Berkeley has profound expertise in machine learning and other AI domains. Its newly founded BAIR Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, robotics, and research planning.

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.

About GilPress I launched the Big Data conversation; writing, research, marketing services; https://whatsthebigdata.com/ & http://infostory.com/ Image This entry was posted in AI, robots, Social Impact and tagged Futurism.

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.