For years, many healthcare organizations tended to be skeptical and resistant (if not outright hostile) to the idea of storing their data, particularly protected health information, in the cloud. IT and security decision-makers had deep reservations about stashing such sensitive data anywhere but their own on-premises servers, safe under their own watchful eyes. But not too long ago that changed, and seemed to change quickly. To the surprise of many, over the past few years, it appears that many healthcare providers have been getting markedly more comfortable putting their trust in the cloud. "If you had asked me in 2011, I would have predicted that healthcare would still be one of the slower moving industries," said Jason McKay, chief technology officer of Logicworks, a managed hosting company that helps organizations in many sectors build and manage cloud infrastructure.

BEIJING (Reuters) - China's southern city of Shenzhen gave the green light to tech giant Tencent Holdings to test its self-driving car on some public roads as the country seeks to bolster its position in the global race for autonomous vehicle technology.

He is the founder, CEO, and lead designer of SpaceX; co-founder, CEO, and product architect of Tesla, Inc.; and co-founder and CEO of Neuralink He was ranked the No. 1 global FinTech influencer and the No. 2 InsurTech influencer by Onalytica. He is a senior advisor at Arbidex, Glance Technologies, Datametrex AI, kapilendo.de, She is the director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Since age 15, the main goal of professor Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. His lab's Deep Learning Neural Networks (since 1991) such as Long Short-Term Memory (LSTM) have revolutionised machine learning, and are now available to billions of users through the world's most valuable public companies, e.g., for greatly improved speech recognition on over 2 billion Android phones, greatly improved machine translation through Google (since 2016) and Facebook (over 4 billion LSTM-based translations per day as of 2017), Apple's Siri and Quicktype on almost 1 billion iPhones (since 2016), the answers of Amazon's Alexa, and numerous other applications.

According to the Office of the United Nations High Commissioner for Refugees (UNHCR), more than 4.8 million people have fled Syria alone since the outbreak of civil war in 2011. In 2015, Amnesty International reported that the number of refugees worldwide reached nearly 20 million. When including displacements within countries, the number climbs to 60 million. Such numbers may appear to be a crippling crisis for many governments and NGOs - but they may be an opportunity for businesses and startups. Refugees looking for shelter away from areas of conflict often live in appalling conditions, with minimal access to food, water or healthcare.

As tech giants like Google, Amazon and Apple integrate their voice-enabled digital assistants into more devices, Samsung, led by its R&D Institute in India, is busy infusing Artificial Intelligence (AI) into its virtual assistant Bixby for a harmonised Internet of Things (IoT) experience at home. After smartphones, Samsung aims to make all its home appliance products "smart" by 2020 -- a year which, according to Gartner, will see nearly 20 billion connected devices. Bixby is the next frontier in AI that will help users speak to their refrigerators, TVs, washing machines, dishwashers, ovens and what not. "We are already doing 30-40 per cent of AI-based activities -- training deep neural networks for vision, voice and text -- at our place. "Voice is the next enabler.

If you thought watching Westworld was like flipping through a blood-soaked college philosophy textbook, you weren't wrong. Its meditations on the nature of the mind are growing increasingly knotty, putting flesh and bones to the meandering thought experiments that keep undergrads up at night. Episode 4 of Season 2 opens in a sleek apartment. Jim Delos (Peter Mullan) is going through his morning routine: riding his exercise bike, sitting down to a cup of coffee, and with a trembling hand spilling the cream. The apartment's walls are one-way mirrors, and on the other side, technicians monitor the conversation.

We are a team of computer scientists, medical practitioners and bioinformaticians. We apply the latest deep learning research to healthcare questions, and develop innovative solutions that will revolutionize the way patients are diagnosed and treated. We are looking for talented individuals to join the Qure team in India and the San Francisco Bay Area. If you want to be part of this forward-thinking company on the forefront of deep learning, apply now at careers@qure.ai

From high-tech unicorns to specialty chemicals, the country's economy is moving swiftly beyond its lower-margin roots. The Chinese are now the world's most avid online purchasers of goods and services, which they are likely to pay for with a mobile device. The deepening digital ethos reflects a broader consumerization of the Chinese economy. These trends are creating fertile grounds for digital start-ups while also transforming traditional industries such as specialty chemicals as they supply materials for advanced industries and higher-margin consumer goods. Global companies in China should ensure that they're not competing for yesterday's markets.

Artificial Intelligence (AI) is a rapidly growing field of technological development with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) is developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyberspace operations, command and control, and a variety of military autonomous vehicles. AI applications are already playing a role in operations in Iraq and Syria, with algorithms designed to speed up the target identification process. Congressional action has the potential to shape the technology's trajectory, with fiscal and regulatory decisions potentially influencing growth of national security applications and the standing of military AI development versus international competitors.

Wearables like smartwatches which are embedded with sensors and powerful processors, provide a strong platform for development of analytics solutions in sports domain. To analyze players' games, while motion sensor based shot detection has been extensively studied in sports like Tennis, Golf, Baseball; Table Tennis and Badminton are relatively less explored due to possible less intense hand motion during shots. In our paper, we propose a novel, computationally inexpensive and real-time system for shot detection in table tennis, based on fusion of Inertial Measurement Unit (IMU) and audio sensor data embedded in a wrist-worn wearable. The system builds upon our presented methodology for synchronizing IMU and audio sensor input in time using detected shots and achieves 95.6% accuracy. To our knowledge, it is the first fusion-based solution for sports analysis in wearables. Shot detectors for other racquet sports as well as further analytics to provide features like shot classification, rally analysis and recommendations, can easily be built over our proposed solution.