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An AI university has been established in Abu Dhabi, in what is being billed as a world first for artificial intelligence studies. Earlier this month, it was announced that the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has been established in Abu Dhabi, the first graduate level, research-based AI university globally. The AI university will enable graduate students, businesses, and governments to advance artificial intelligence. The university's name comes from His Highness Sheikh Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi. MBZUAI intends to introduce a new model of academia and research to the field of AI, with a view to provide students and faculty access to some of the world's most advanced AI systems to unleash its potential for economic and societal development.

– Blockchain is a mystery story or provides the foundation for cryptocurrencies like Bitcoin. What's different about blockchains compared to traditional big-data distributed databases like MongoDB. Its like featuring a product that contains small blocks of brain in form of dust but consider that the innovation efforts of several publicly traded asset managers and banks are also on this brain block dust quest. Computers start simulating the brain's sensation, action, interaction, perception and cognition abilities. Blockchain is a new approach to manage/monitor financial and other transactions, Guarding an innovation department or powerhouse lab is a smart setup without inbuilt component of artificial intelligence is like an effort of joining blocks without reference of previous block.

Automakers, companies, and researchers have been trying to come out with cameras that help drivers see what's coming around a corner for years. But few, like Jaguar Land Rover, actually have something viable on the market. A few years ago, the Massachusetts Institute of Technology (MIT) developed a camera system called CornerCameras. Well, researchers from MIT are back with a new system that's meant to help autonomous cars see around corners. Perfecting Existing Technology CornerCameras, which came out in 2017, is a system that researchers from MIT came up with that focused on shadows.

Russian startup Promobot is now selling autonomous androids -- and buyers can choose to make the robots look like any person on Earth. "Everyone will now be able to order a robot with any appearance -- for professional or personal use," Aleksei Iuzhakov, Chairman of Promobot's Board of Directors, said in a press release, later encouraging people to "imagine a replica of Michael Jordan selling basketball uniforms and William Shakespeare reading his own texts in a museum." Promobot's Robo-C can't walk, but its neck and torso each have three degrees of freedom of movement, according to the startup's website. Its face has 18 moving parts, which allow the robot to produce 600 micro-expressions, and its AI boasts 100,000 speech modules. "The key moment in development [of Robo-C] is the digitization of personality and the creation of an individual appearance," Promobot co-founder Oleg Kivokurtsev told CNBC.

Adaptability is one of the key cognitive abilities that defined us as humans. Even as babies, we can intuitively shift between similar tasks even if we don't have prior training on them. This contrasts with the traditional train-and-test approach of most artificial intelligence(AI) systems which require an agent to go through massive amounts of training before it can master a specific task. By definition, train-and-test systems are not very adaptable and, consequently, they are not very applicable to scenarios that operate in real word environments. Improving the adaptability of AI systems has been one of the core areas of research of an increasingly popular discipline known as meta-learning that focuses on improving the learning abilities of AI agents.

The ubiquity and sheer volume of data generated today give experts in virtually every domain ample information to track everything from financial trends, disaster evacuation routes, and street traffic, to animal migrations, weather patterns, and disease vectors. But using this data to build visualizations of complex predictive models using machine learning is a challenge to experts who lack the requisite computer science skills. A team at the NYU Tandon School of Engineering's Visualization and Data Analytics (VIDA) lab, led by Claudio Silva, professor in the department of computer science and engineering, developed a framework called VisFlow, by which those who may not be experts in machine learning can create highly flexible data visualizations from almost any data. Furthermore, the team made it easier and more intuitive to edit these models by developing an extension of VisFlow called FlowSense, which allows users to synthesize data exploration pipelines through a natural language interface. The research, "FlowSense: A Natural Language Interface for Visual Data Exploration with a Dataflow System" won the best-paper award at this year's IEEE Conference on Visual Analytics Science and Technology (VAST).

Understanding how our universe came to be what it is today and what its final destiny will be is one of the biggest challenges in science. The awe-inspiring display of countless stars on a clear night gives us some idea of the magnitude of the problem, and yet that is only part of the story. The deeper riddle lies in what we cannot see, at least not directly: dark matter and dark energy. With dark matter pulling the universe together and dark energy causing it to expand faster, cosmologists need to know exactly how much of those two is out there in order to refine their models. Now, researchers are working to improve on standard methods for estimating the dark matter content of the universe through artificial intelligence.

Imagine seeing yourself in a sexually explicit video in which you have never participated. This is a distinct possibility today for a female celebrity or a regular woman living in the age of Deepfakes. Deepfake is a technique used to manipulate human images based on artificial intelligence. What sets Deepfake images or videos apart from other modified images is that the former looks strikingly authentic. Earlier this year, a Deepfake video that went viral showed comedian Bill Hader's face being seamlessly transformed into that of Tom Cruise.

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted workers' positive attitudes toward AI and robots, challenges in implementing enterprise AI, the perceived benefits of AI in financial services, and the impact of AI on the business of Big Tech. Google's Natural Language Processing (NLP) model BERT was added to its set of search algorithms and will help it better understand one in 10 searches in the U.S. in English ("With the latest advancements from our research team in the science of language understanding--made possible by machine learning--we're making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search") [Google Keyword] Across more than 18,500 tasks, for each occupation, on average, workers were asked to perform 3.7 fewer tasks in 2017 than seven years earlier. When looking at the impact of AI and machine learning on tasks across seven years, the data show that among tasks that are more suitable for machine learning (e.g., scheduling, credential validation), workers, by occupation, were asked to perform 4.3 fewer tasks. Conversely, among tasks that are less suitable for machine learning (e.g., design, industry knowledge), workers, by occupation, were asked to perform 2.9 fewer tasks. This reflects a 46% larger decline in demand for tasks that are more likely to be suitable for machine learning, compared to those that are less likely.