We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark information (e.g., event type). A fundamental problem is to model and predict such kind of marked temporal dynamics, i.e., when the next event will take place and what its mark will be. Existing methods either predict only the mark or the time of the next event, or predict both of them, yet separately. Indeed, in marked temporal dynamics, the time and the mark of the next event are highly dependent on each other, requiring a method that could simultaneously predict both of them. To tackle this problem, in this paper, we propose to model marked temporal dynamics by using a mark-specific intensity function to explicitly capture the dependency between the mark and the time of the next event. Extensive experiments on two datasets demonstrate that the proposed method outperforms state-of-the-art methods at predicting marked temporal dynamics.

Implementing Enterprise AI is a unique and limited edition course that is focussed on AI Engineering / AI for the Enterprise. The course is launched for the first time and has limited spaces. Created in partnership with H2O.ai, the course uses Open Source technology to work with AI use cases. Successful participants will receive a certificate of completion and also validation of their project from H2O.ai. The course targets developers and Architects who want to transition their career to Enterprise AI.

We are in the midst of an extraordinary period of computing platform revolution, a renaissance in artificial intelligence, which is going to change the lives of billions of people around the globe. No other technology is gaining more momentum, seeing more progress--or inciting more fear--than the radical sharpening and rise of intelligence of machines. While the promise of AI has been known for years, the current pace of breakthrough is stunning. Machines are set to reach and exceed human performance on more and more tasks, thanks to advances in dedicated hardware, faster and deeper access to big data, and newer sophisticated algorithms that provide the ability to learn and improve based on feedback. AI has driven crucial progress in fields such as medicine, where it has spurred breakthroughs in disease diagnosis and the development of treatment plans.

A study of screen time and mental wellbeing among teenagers has suggested moderate use of devices may be beneficial in a connected world. The researchers collected self-reported data from 120,000 English 15-year-olds about their digital device habits. They found a "Goldilocks effect" where a few hours of device-use seemed to boost mental wellbeing. One developmental psychologist welcomed the paper but said there was still room for more study. "Moderate engagement in digital activities is not harmful," notes the paper, published today in the journal Psychological Science.

What are some potential ways that machine learning can be used in pharmaceutical development? What are some potential ways that machine learning can be used in pharmaceutical development? There are literally hundreds of thousands of potentially relevant scientific papers published each year, no one has the capability to read through all of them or even read the review articles that attempt to summarize them. We've already surpassed the one million papers per year mark, and the curve appears to be exponential (even if that doesn't persist it's still an untenable amount of information for any human, or even group of humans, to realistically delve into.) This is where the basic science that leads to drug development gets its start.

Summary: This new study claims to be able to identify criminals based on their facial characteristics. Even if the data science is good has AI pushed too far into areas of societal taboos? This isn't the first time data science has been restricted in favor of social goals, but this study may be a trip wire that starts a long and difficult discussion about the role of AI. Has AI gone too far? This might seem like a nonsensical question to data scientists who strive every day to expand the capabilities of AI until you read the headlines created by this just released peer reviewed scientific paper: Automated Inference on Criminality Using Face Images (Xiaolin Wu, McMaster Univ.

Kaggle, the nearly ten year old startup that hosts competitions for data science aficionados, is hosting a competition with a $1 million purse to improve the classification of potentially cancerous lesions in the lungs. The funds are being provided by the Laura and John Arnold Foundation and Booz Allen Hamilton as part of the 2017 Data Science Bowl. This isn't the first time that major prize money has been given away to accelerate research in targeted areas. The Data Science Bowl featured a competition last year to identify signs of heart failure with a $200,000 purse and the year before it tasked data scientists to assess ocean health. The $1 million going towards this year's competition will be the most ever given out as a prize on the site.

Two out of every five people in the US will be diagnosed with cancer during their lifetimes, according to the National Cancer Institute . Now the same technology behind improved voice assistants and credit card fraud detection--artificial intelligence--is now being implemented into lung cancer screenings for this year's Data Science Bowl. Booz Allen Hamilton and Kaggle are hoping to inspire data scientists and medical communities around the world to use artificial intelligence to improve lung cancer screening technology at this year's Data Science Bowl. The 90-day Data Science Bowl competition will award winners with $1 million in prizes. Funds for the prize purse will be provided by the Laura and John Arnold Foundation.

In his seminal book "Superintelligence," the Swedish philosopher Nick Bostrom highlights the need to draft a set of rules to keep machines under human control much before an inevitable "intelligence explosion" occurs. European lawmakers, it seems, are listening. On Thursday, the European Parliament's legal affairs committee approved a wide-ranging report that outlines a possible framework under which humans would interact with AI and robots. Among other things, the report mulls over the need to create a specific legal status for robots -- one that designates them as "electronic persons" -- and the need for designers to incorporate a "kill switch" into their designs. In addition, the report also calls for the creation of a European agency for robotics and AI that would be capable of responding to new opportunities and challenges arising from technological advancements in robotics.

Selena Gomez and rumored boyfriend The Weeknd were certified newsmakers this week. But what's more interesting about this developing story was the latest report highlighting the sex life and nontraditional views on love and marriage of Gomez's new lover. In a recent interview with GQ magazine, the publication that labeled The Weeknd as the "king of sex pop," the 26-year-old "Starboy" singer candidly spoke about his own views on love and marriage. The Grammy Award-winning musician said his popularity does not affect his ego and his dating game, saying most girls want to get involve with him because of his talents instead of appearance. "The reason why they want to [have sex] with me is because of what I do [in the studio]," The Weeknd said in an interview for GQ's February 2017 issue, Us Weekly quoted.