Sparse Subspace Clustering (SSC) is a popular unsupervised machine learning method for clustering data lying close to an unknown union of low-dimensional linear subspaces; a problem with numerous applications in pattern recognition and computer vision. Even though the behavior of SSC for complete data is by now well-understood, little is known about its theoretical properties when applied to data with missing entries. In this paper we give theoretical guarantees for SSC with incomplete data, and analytically establish that projecting the zero-filled data onto the observation pattern of the point being expressed leads to a substantial improvement in performance. The main insight that stems from our analysis is that even though the projection induces additional missing entries, this is counterbalanced by the fact that the projected and zero-filled data are in effect incomplete points associated with the union of the corresponding projected subspaces, with respect to which the point being expressed is complete. The significance of this phenomenon potentially extends to the entire class of self-expressive methods.

Deep learning is a branch of artificial intelligence where networks of simple interconnected units are used to extract patterns from data in order to solve complex problems. Deep learning algorithms have shown groundbreaking performance in a variety of sophisticated tasks, especially those related to images. They have often matched or exceeded human performance. Since the medical field of radiology mostly relies on extracting useful information from images, it is a very natural application area for deep learning, and research in this area has rapidly grown in recent years. In this article, we review the clinical reality of radiology and discuss the opportunities for application of deep learning algorithms. We also introduce basic concepts of deep learning including convolutional neural networks. Then, we present a survey of the research in deep learning applied to radiology. We organize the studies by the types of specific tasks that they attempt to solve and review the broad range of utilized deep learning algorithms. Finally, we briefly discuss opportunities and challenges for incorporating deep learning in the radiology practice of the future.

HQ Asia speaks with the Head of Insight & Futures at the CIPD about AI technologies shaping the future of work and the impact these can have on individuals, organisations and society. Wilson Wong, the Head of Insight & Futures at the CIPD, has responsibility for scanning for drivers shaping the future of work. The aim is to provide insights on business models, employment relationships, individual and societal concerns as well as what is valued by business, society and individuals. These insights, in turn, have implications for the various professions and of course human resource management (HRM). Throughout the interview, a constant theme was technology and people.

Some firms in China now use artificial intelligence–powered facial recognition programs to confirm identities. BEIJING--In a gleaming high-rise here in northern Beijing's Haidian district, two hardware jocks in their 20s are testing new computer chips that might someday make smartphones, robots, and autonomous vehicles truly intelligent. The onlooker, Chen Yunji, a 34-year-old computer scientist and founding technical adviser of Cambricon Technologies here, explains that traditional processors, designed decades before the recent tsunami of artificial intelligence (AI) research, "are slow and energy inefficient" at processing the reams of data required for AI. "Even if you have a very good algorithm or application," he says, its usefulness in everyday life is limited if you can't run it on your phone, car, or appliance. "Our goal is to change all lives."

China is investing massively in artificial intelligence (AI), from chips to algorithms. Last summer, China's State Council issued an ambitious policy blueprint calling for the nation to become "the world's primary AI innovation center" by 2030, by which time, it forecast, the country's AI industry could be worth $150 billion. In one of the government's latest moves to catch up with the United States, China plans to build a $2.1 billion AI technology park in Beijing's western suburbs. But China's advantages in AI go beyond government commitment. Because of its sheer size, vibrant online commerce and social networks, and scant privacy protections, the country is awash in data, the lifeblood of AI's deep learning systems.

The world's most patient mom may be a deep-sea octopus that tends her eggs for nearly 4.5 years. But now, there may be a new contender for her throne. Scientists have caught a rare glimpse of another deep-sea dweller that may also spend four or more years nursing its eggs, and it does it in an even more unusual place: on hydrothermal vents, where hot water spews from the ocean floor. It's called the Pacific white skate (Bathyraja spinosissima), a bone-white, bug-eyed relative of sharks that can live almost two miles (2,900 meters) underwater. Deep-sea skates, which are shark relatives that resemble rays, lay large eggs that can take years to hatch in cold water.

China is investing massively in artificial intelligence (AI), from chips to algorithms. Last summer, China's State Council issued an ambitious policy blueprint calling for the nation to become "the world's primary AI innovation center" by 2030, by which time, it forecast, the country's AI industry could be worth $150 billion. In one of the government's latest moves to catch up with the United States, China plans to build a $2.1 billion AI technology park in Beijing's western suburbs. But China's advantages in AI go beyond government commitment. Because of its sheer size, vibrant online commerce and social networks, and scant privacy protections, the country is awash in data, the lifeblood of AI's deep learning systems.

This powerful quote by William Shakespeare applies well to techniques used in data science & analytics as well. Allow me to prove it using a short story. In May ' 2015, we conducted a Data Hackathon ( a data science competition) in Delhi-NCR, India. We gave participants the challenge to identify Human Activity Recognition Using Smartphones Data Set. The data set had 561 variables for training model used for the identification of Human activity in test data set.

China's push to develop powered exoskeletons has implications for almost every area of combat operations. If the plans prove successful, Chinese infantry and special operators could not only carry heavier equipment for longer distances, but also attach body armor to individuals. None of which can fly like Iron Man. More prosaically, exoskeletons can be used to assist soldiers in a bunch of support tasks, including loading supplies, getting missiles onto airplanes, and repairing ships. Peter Warren Singer is a strategist and senior fellow at the New America Foundation.

The Game Developers Conference (GDC) takes place in San Francisco next month and this year's event includes the GDC's first ever film festival. For three days starting March 19th, the GDC will host a selection of documentary and narrative films focused on the art and culture of video games, and Q&As with the filmmakers will follow most of the screenings. Each day of the festival with be themed. The first day, focused on international works, will feature screenings of Branching Paths, Moleman 4 -- Longplay and the premiere of Heting Chen's Indie Games in China. The second puts the spotlight on webseries with the premiere of the feature-length version of The CheckPoint Series and two work-in-progress screenings of Noclip: Horizon: Zero Dawn and Area 5's Outerlands.