Deep learning algorithms produces state-of-the-art results for different machine learning and computer vision tasks. To perform well on a given task, these algorithms require large dataset for training. However, deep learning algorithms lack generalization and suffer from over-fitting whenever trained on small dataset, especially when one is dealing with medical images. For supervised image analysis in medical imaging, having image data along with their corresponding annotated ground-truths is costly as well as time consuming since annotations of the data is done by medical experts manually. In this paper, we propose a new Generative Adversarial Network for Medical Imaging (MI-GAN). The MI-GAN generates synthetic medical images and their segmented masks, which can then be used for the application of supervised analysis of medical images. The proposed method generates precise segmented images better than the existing techniques. The proposed model achieves a dice coefficient of 0.837 on STARE dataset and 0.832 on DRIVE dataset which is state-of-the-art performance on both the datasets.

Cutting edge technology and innovation will be adopted as the official show theme for Arabian Travel Market (ATM) 2019, taking place at Dubai World Trade Centre from 28 April – 1 May 2019. According to the latest research conducted by Colliers International, personalisation Artificial Intelligence (AI) could increase hotel revenues by over 10 percent and reduce costs by more than 15 percent – with hotel operators expecting technology such as voice and facial recognition, virtual reality and biometrics to be mainstream by 2025. Further to this, the research estimates 73 percent of manual activities in the hospitality industry have the technical potential for automation, with many global hotel operators including Marriott, Hilton, and Accor already investing in automating elements of their human resources. Danielle Curtis, Exhibition Director ME, Arabian Travel Market, said: "It is important to highlight that the GCC is one of the fastest growing regional hospitality markets on a global scale and an innovative technology-reliant industry. "Its impact on hotels and travel and tourism is multi-dimensional, ranging from voice and facial recognition, chatbots and beacon technology to virtual reality, blockchain and robot concierge.

Artificial intelligence applied by health insurers could help save millions of dirhams a year in fraud and abuse within the UAE healthcare system, analysts claim. Swiss software company Netcetera has completed a successful trial of its latest technology within a major health insurer, spotting almost 37,000 suspicious claims made by more than 4,000 doctors between 2016-17. Those bogus claims totalled Dh21 million and would usually have gone unnoticed by insurers, who would end up paying out for unnecessary treatments given by hospitals and clinics. The system developed by Netcetera uses an AI model that runs an algorithm to detect a pattern of behaviour. The AI model built into an insurers claim system will recognise a usual pattern of prescriptions and raise a red flag when a doctor delivers an abnormal course of treatment.

Qu Jianguo, 64, had a futuristic medical visit in Shanghai as he put his wrist through an automated pulse-taking machine and received the result within two minutes on a mobile phone – without a doctor present. The small device, which has a half-open clasp that records the heartbeat, is one of the technologies developed by hi-tech firms aiming to help China offset its shortage of physicians by combining big data and artificial intelligence (AI). The machine made by Ping An Good Doctor was shown off at the 2018 World AI Expo in Shanghai at a time when Chinese policymakers are making a major push to turn the country into a global tech leader. "I came here to see how Chinese-style medical treatment could be done without a doctor. That would be really convenient," said Qu, a retired IT worker attending the expo.

At kindergarten, 3-year-old Seven Kong has his schoolmates to play with, but at home his best friend is a kidney-shaped, lime-coloured android named BeanQ. The two spend hours together, with Seven peppering the robot with a continuous stream of questions. The green android responds with similarly simple words and phrases, alongside an array of different emoji facial expressions displayed on a large screen, which serves as its face. Recommended to the family by a friend, the android is intended to be an early educator, sharing some of the parental burden. "When we get really busy, BeanQ can be there keeping him entertained," said Seven's mother Liu Qian, 33, who is a work-at-home mom living in Beijing.

In early 2015, a University of California, San Diego team successfully used micro-motor powered nanobots inside live mice -- without causing damage to their stomach linings, changing healthcare forever. In mid-2015, this concept was quickly advanced by mechanical engineers at Drexel University working in partnership with Daegu Gyeongbuk Institute of Science and Technology (DGIST) in South Korea. What they created were more efficient'micro-swimmers' capable of breaking through clogged arteries and leaving anticoagulant medication to prevent future blockage. Indeed, artificial intelligence (AI), from big data and machine learning to caretaker robots and medical nanobots, can help humans live longer. It's a primary reason scientists have predicted human lifespan to increase to 125 years by 2070.

Artificial Intelligence (AI), coupled with big data analytics, could help industries to grow their businesses by understanding their customers better and offering them more customised services, said experts. "The manufacturing sector generates maximum amount of data than any other industrial sector and AI is enabling us to correlate and understand it in a much more meaningful manner," Ismail Abdulla, chief executive of Strata Manufacturing, which is owned by Abu Dhabi's strategic investment company Mubadala Investment Company, told The National. "Understanding this data, through AI applications, has eventually helped us to overcome various challenges in the past." The big data and analytics software market, which in 2017 reached $54.1 billion globally, is expected to grow at a five-year compound annual growth rate of 11.2 per cent, according to International Data Corporation. It has also predicted AI spending to reach $52.2bn in 2021.

Artificial Intelligence (AI), coupled with big data analytics, could help industries to grow their businesses by understanding their customers better and offering them more customised services, said experts. "The manufacturing sector generates maximum amount of data than any other industrial sector and AI is enabling us to correlate and understand it in a much more meaningful manner," Ismail Abdulla, chief executive of Strata Manufacturing, which is owned by Abu Dhabi's strategic investment company Mubadala Investment Company, told The National. "Understanding this data, through AI applications, has eventually helped us to overcome various challenges in the past." The big data and analytics software market, which in 2017 reached $54.1 billion globally, is expected to grow at a five-year compound annual growth rate of 11.2 per cent, according to International Data Corporation. It has also predicted AI spending to reach $52.2bn in 2021.

Local governments are excellent laboratories for experiments for delivering public services to citizens. Few cities have taken to this role of experimenting with artificial intelligence in service delivery more so than Dubai, one of the seven emirates that make up the United Arab Emirates and the second wealthiest after Abu Dhabi. The UAE has invested heavily in technology for improved government service delivery, and recently created the position of Minister of AI. While the government is supporting AI-based technology pilots and implementation throughout the UAE, Dubai is proving to be particularly adept at identifying opportunities to experiment and implement these artificial intelligence technologies. As part of its rapid economic development, Dubai has created an environment to attract start-up companies and investment capital across a wide range of technological development.

In a report posted online last week, Peter Scholze of the University of Bonn and Jakob Stix of Goethe University Frankfurt describe what Stix calls a "serious, unfixable gap" within a mammoth series of papers by Shinichi Mochizuki, a mathematician at Kyoto University who is renowned for his brilliance. Posted online in 2012, Mochizuki's papers supposedly prove the abc conjecture, one of the most far-reaching problems in number theory. Original story reprinted with permission from Quanta Magazine, an editorially independent publication of the Simons Foundation whose mission is to enhance public understanding of science by covering research developments and trends in mathematics and the physical and life sciences. Despite multiple conferences dedicated to explicating Mochizuki's proof, number theorists have struggled to come to grips with its underlying ideas. His series of papers, which total more than 500 pages, are written in an impenetrable style, and refer back to a further 500 pages or so of previous work by Mochizuki, creating what one mathematician, Brian Conrad of Stanford University, has called "a sense of infinite regress."