This paper proposes a new Quantum Spatial Graph Convolutional Neural Network (QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes. Unlike state-of-the-art Graph Convolutional Neural Network (GCNN) models, the proposed QSGCNN model incorporates the process of identifying transitive aligned vertices between graphs, and transforms arbitrary sized graphs into fixed-sized aligned vertex grid structures. In order to learn representative graph characteristics, a new quantum spatial graph convolution is proposed and employed to extract multi-scale vertex features, in terms of quantum information propagation between grid vertices of each graph. Since the quantum spatial convolution preserves the grid structures of the input vertices (i.e., the convolution layer does not change the original spatial sequence of vertices), the proposed QSGCNN model allows to directly employ the traditional convolutional neural network architecture to further learn from the global graph topology, providing an end-to-end deep learning architecture that integrates the graph representation and learning in the quantum spatial graph convolution layer and the traditional convolutional layer for graph classifications. We demonstrate the effectiveness of the proposed QSGCNN model in relation to existing state-of-the-art methods. The proposed QSGCNN model addresses the shortcomings of information loss and imprecise information representation arising in existing GCN models associated with the use of SortPooling or SumPooling layers. Experiments on benchmark graph classification datasets demonstrate the effectiveness of the proposed QSGCNN model.

ISLAMABAD - Pakistan's military says it has shot down a second Indian spy drone in two days flying in Pakistani airspace over the disputed Himalayan region of Kashmir. Gen. Asif Ghafoor says Pakistani troops downed the drone Wednesday along the Line of Control that divides the Pakistani- and Indian-controlled portions of Kashmir. Authorities say Pakistani troops retrieved the wreckage of the Indian drone. Pakistan's military also reported shooting down a drone from India on Tuesday. There has been no comment from India.

Tel Aviv-based Audioburst has been developing a search engine for audio news, which allows users to locate audio content within podcasts and other talk radio programs. Today, the company is capitalizing on its technology to launch personalized playlists that deliver custom news briefs that get better over time the more you use the product. The feature has been built using deep AI learning, the company says. The content itself is drawn from top podcasts and the radio stations in Audioburst's index, and will alert you to new information based on your chosen keywords and topics. To use the feature, you first sign up on the Audioburst website, then select from a set of interests or add your own.

Models and data analytics not only recap what is already occurring between water and plants across expansive rows of corn, they can actually predict what will come in the hours, days and weeks ahead. Reprinted with permission from Iteris, Inc.: For thousands of years, the survival of farmers' crops -- and finances -- have been inextricably linked to the weather. Whether growing corn on the plains of Nebraska or wheat in the mountains of southeastern Turkey, Mother Nature's seemingly unpredictable temperament has forced farmers to find innovative ways of better understanding soil moisture, rainfall, and crop health throughout the ages. One fact that doesn't change, however, is that crops need water. And, whether they get it from natural rainfall or modern irrigation methods, crops need it consistently at key growing points to remain healthy and abundant.

This is part 2 of a series on how health technologies impact our lives and seek to change the way patients interact with the healthcare system. In this post, we explore the inefficiencies of the traditional patient journey, and how we can use artificial intelligence to optimise healthcare. You can read the first part of the series here, which raises the question: Should good healthtech make itself redundant? A couple of years ago, IBM's supercomputer Watson cracked a medical mystery that had baffled doctors for months. A female leukaemia patient in Japan didn't respond as expected to treatments and eventually, the medical team turned to Watson for help.

Much as mass electrification enabled the rise of the United States and other advanced economies, so AI is poised to reshape the global order. Forecasts suggest that AI will add a massive $15.7 trillion to the global economy by 2030. Prospects for sustaining global competitiveness are now directly tied to the industrialization of AI. AI and machine learning are predicted to reshape manufacturing, energy management, urban transportation, agricultural production, labor markets, and financial management. Governments that can successfully cultivate a culture of disruptive innovation will be strategically positioned to lead in the twenty-first century.

Mint asked top company bosses how they see disruptive technologies such as artificial intelligence, blockchain and 5G impacting Indian firms. The IT and digital transformation industry is witnessing exponential growth in the use of cutting-edge digital technologies like Blockchain, 5G, AI, automation, robotics, cybersecurity and IoT. One can expect all these new age technologies to make greater inroads both in the Indian and global markets, in the years ahead. As part of our TechMNxt charter, we are collaborating and co-innovating with our partner ecosystem to derive business value for our customers by leveraging these digital technologies. I believe if companies are pre-emptive in the data protection space, there will be a huge business opportunity for Indian IT players like Tech Mahindra, not just in the European markets but globally too. At Tech Mahindra, we are bullish on 5G and as part of our preparedness for 5G, we are investing in 5G training labs in partnership with global players as well as setting up a training academy. The government of India has been focusing heavily on developing India into a $1 trillion digital economy by 2025. The government's focus on developing digital governance services and Smart Cities by adapting new age technologies like automation, AI, cybersecurity, blockchain and IoT has contributed to the growth of the Indian IT industry in recent times and promises to open additional avenues in the future.

In the wake of Amazon's hiring debacle involving an artificial intelligence (AI)-powered recruiter discriminating against women, experts maintain that machines themselves aren't biased -- they're only mirroring and amplifying cultural biases in the real world. The solution to shoddy machine learning, these experts say, is deceptively simple: better data. Worldwide spending on cognitive and artificial intelligence (AI) systems reached an estimated $19 billion, almost doubling the amount from 2017, according to research firm IDC. The promise of AI technology has spawned a race between the U.S. and China, both fighting for the title of global leader. According to a report by PwC, the industry is expected to boost U.S. GDP by 14.5% by 2030 -- second only to China, which is expected to see a 26.1% boost.

A few years ago, the concept of a driverless car was more than likely the realm of a science-fiction movie. In China, Daimler has been granted a license to test its self-driving cars on Beijing's public roads while in the United States, about 50 companies are testing autonomous vehicles in California. As the technology becomes more widespread, which countries are best prepared to harness it? Even though Europe isn't attracting as much attention as the U.S., a KPMG study found that the Netherlands is actually the country with the highest level of readiness for autonomous driving. The study rated countries on 26 variables within 4 pillars: policy & legislation, technology & innovation, infrastructure and consumer acceptance.

Chinese science advanced on several fronts in 2018, and this year should see scientists in China reach a number of milestones that will focus the world's attention on their achievements. Here are a few to keep an eye on. Chang'e 4 set to land on dark side of moon'between January 1 and 3' In December, China launched a plan to become the first country to land a probe on the far side of the moon. The Chinese mission, named Chang'e-4, is the fourth robotic iteration in a decade-long endeavour by the country to explore the moon. Chang'e is a reference to the Chinese goddess of the moon.