And the artificial intelligence chatbot that didn't survive a day on the Internet. Plus: Reviewing Santiago Calatrava's latest, how to be unprofessional and the "Grand Theft Auto" modification that may have you watching for hours on end. Time has Russian drone footage that provides an overview of what remains of the old Silk Road crossroads, as well as the contemporary human settlement of Tadmur that sits nearby. About 80% of the artifacts appear to be largely intact. The country's antiquities chief says repairs will take five years.

They died out more than 40,000 years ago but the legacy left by two prehistoric species of early humans is far more widespread than had been previously believed. Scientists have discovered a surprising number of bloodlines around the world carry fragments of DNA from Neanderthals or their sister species, the mysterious Denisovans. Their analysis suggests that our modern human ancestors appear to have interbred with the Denisovans just 100 generations after their trysts with Neanderthals. Scientists have produced new maps showing the levels of Neanderthal and Denisovan ancestry around the world. And the study has unearthed some surprising new benefits these illicit encounters have gifted to modern humans living today.

An important step in data analysis is data exploration and representation. In this tutorial we will see how by combining a technique called Principal Component Analysis (PCA) together with Cluster Analysis we can represent in a two-dimensional space data defined in a higher dimensional one while, at the same time, being able to group this data in similar groups or clusters and find hidden relationships in our data. More concretely, PCA reduces data dimensionality by finding principal components. These are the directions of maximum variation in a dataset. By reducing a dataset original features or variables to a reduced set of new ones based on the principal components, we end up with the minimum number of variables that keep the maximum amount of variation or information about how the data is distributed. If we end up with just two of these new variables, we will be able to represent each sample in our data in a two-dimensional chart (e.g. a scatterplot). As an unsupervised data analysis technique, clustering organises data samples by proximity based on its variables.

This paper tackles the problem of endogenous link prediction for knowledge base completion. Knowledge bases can be represented as directed graphs whose nodes correspond to entities and edges to relationships. Previous attempts either consist of powerful systems with high capacity to model complex connectivity patterns, which unfortunately usually end up overfitting on rare relationships, or in approaches that trade capacity for simplicity in order to fairly model all relationships, frequent or not. In this paper, we propose Tatec, a happy medium obtained by complementing a high-capacity model with a simpler one, both pre-trained separately and then combined. We present several variants of this model with different kinds of regularization and combination strategies and show that this approach outperforms existing methods on different types of relationships by achieving state-of-the-art results on four benchmarks of the literature.

Artificial intelligence is advancing rapidly and poised to change the status quo in any number of industries, including healthcare. A recent report by Frost & Sullivan predicts the AI market in healthcare will reach 6 billion by 2021, up from just 600 million two years ago. With the shift to a value-based reimbursement model, ushered in with the Affordable Care Act, hospitals and providers are looking for new ways to increase efficiencies and improve patient outcomes. Cognitive solutions such as IBM's Watson system can assess huge amounts of patient data, provide guidance and decision support, and improve clinical workflow. The goal is to support the physician, not replace him or her, said Anil Jain, vice president of IBM's Watson Health and an internist and medical informatics specialist at the Cleveland Clinic.

A mesmerising simulation of the sun has provided the most accurate representation of its magnetic field to date. The hypnotic map shows the complex and turbulent forces that shapes the ball of plasma, causing violent solar flares and coronal mass ejections. Researchers hope the model could help solve a long-standing mystery about our star; if the magnetic lines on the surface are so chaotic, how is it that it has a unified magnetic field? A mesmerising simulation of the sun has provided the most accurate representation of its magnetic field to date. The hypnotic map shows the complex and turbulent forces that shapes the ball of plasma, causing violent solar flares and coronal mass ejections.

On March 23, Microsoft launched an artificial intelligent (AI) chat bot on twitter called TayTweets, and within hours, anonymous individuals had hijacked the experiment. Because the program was not built with contingencies meant to handle inappropriate questions or information gathering, like a human brain for instance, by asking the AI bot something in a specific manner people were able to get responses regarding Holocaust denial, 9/11 conspiracies and incest. On their project website, the Microsoft development team stated the bot was designed to conduct research on "conversational understanding" through engaging and entertaining people with playful conversation. "Unfortunately, within the first 24 hours of coming online, we became aware of a coordinated effort by some users to abuse Tay's commenting skills to have Tay respond in inappropriate ways. As a result, we have taken Tay offline and are making adjustments."

The Lost World: Jurassic Park 1997 AMC Sun. Tomorrow Never Dies 1997 EPIX Wed. 10 p.m., Thur. The X-Files: Fight the Future 1998 IFC Thur. Hard to Kill 1990 Sundance Mon. 8 p.m., Tue. A scientist gives his bodyguard superhuman powers in order to fight racists. A lawyer unwittingly becomes friends with an unstable woman who has a criminal history. A successful businesswoman puts her family, career and life on the line to satisfy her addiction to sex. With his father trapped in the wreckage of their spacecraft, a youth treks across Earth's now-hostile terrain to recover their rescue beacon and signal for help. In the future a cutting-edge android in the form of a boy embarks on a journey to discover his true nature. An 11-year-old boy experiences the worst day of his young life but soon learns that he's not alone when other members of his family encounter their own calamities. A struggling writer falls in love with a stenographer while trying to finish his new novel in 30 days.

LONDON/BRUSSELS – Facial recognition software, scanners that detect weapons and cameras that spot nervous people are some of the technologies that could be used more widely to secure public places, but some would require greater acceptance of surveillance in Europe. The deadly attacks in Brussels on Tuesday highlighted the vulnerability of Europe's airports and transport systems. European Union officials, grappling with the conundrum of how to increase security while retaining the openness of society, have convened meetings to discuss aviation and land transport security. Their goal is to be able to monitor passengers unobtrusively while minimizing additional hold ups that create crowds, which can themselves become new targets. Experts say technology cannot solve the problem on its own, but techniques such as facial recognition able to pick out known suspects can help if Europeans decide they want more surveillance.

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can predict how memorable or forgettable an image is almost as accurately as humans -- and they plan to turn it into an app that subtly tweaks photos to make them more memorable. For each photo, the "MemNet" algorithm -- which you can try out online by uploading your own photos -- also creates a heat map that identifies exactly which parts of the image are most memorable. "Understanding memorability can help us make systems to capture the most important information, or, conversely, to store information that humans will most likely forget," says CSAIL graduate student Aditya Khosla, who was lead author on a related paper. "It's like having an instant focus group that tells you how likely it is that someone will remember a visual message." Team members picture a variety of potential applications, from improving the content of ads and social media posts, to developing more effective teaching resources, to creating your own personal "health-assistant" device to help you remember things.