Artificial Intelligence (AI) is opening up a new frontier by combining human creativity with technology to drive progress in our society and bring governments closer to their constituents. According to the 2018 United Nations (UN) e-Government Survey all 193 Member States have e-government systems in place, at different maturity levels, to deliver digital services and experiences to citizens. The three most commonly used e-government services are paying utilities (140 countries), submitting income taxes (139 countries), and registering a new business (126 countries). Denmark is heading the top 10 e-government development ranking, followed by Australia, the Republic of Korea, United Kingdom, Sweden, Finland, Singapore, New Zealand, France and Japan. The next phase of e-government will use AI to go beyond digitized and automated services and deliver better experiences to citizens.

To improve teaching abilities of teachers in engineering colleges, AICTE is ready to set up AICTE Training and Learning (ATAL) academies in 11 more States. AICTE Chairman Anil D Sahasrabudhe said the council had set up four academies on its own, and 11 States, including Andhra Pradesh and Telangana, came forward to have them. The council would set up them if the respective State governments provided infrastructure. The four academies were started by AICTE at Jaipur, Baroda, Thiruvananthapuram and Guwahati. The idea is to improve the knowledge of teachers who had started their career long time back so that they can, in turn, teach students.

This year's AI Ethics, Policy, and Governance event brought together more than 900 people from academia, industry, and government to discuss the future of AI (or automated computer systems able to perform tasks that normally require human intelligence). Discussions at the conference highlighted how companies, governments, and people around the world are grappling with AI's ethical, policy, and governance implications. In this panel, Expanding Human Experience, Susan Athey, the Economics of Technology Professor at Stanford Graduate School of Business and faculty associate director at Stanford HAI, spoke about AI's impact on the economy. It's critical, she said, that AI creates shared prosperity and expands -- rather than replaces -- the human experience in life and at work. Humans, after all, understand things in a way that may be difficult to codify in AI.

Mumbai-based Qure.AI was able to train its artificial intelligence (AI) algorithm to analyse X-rays and head CT scans, develop two market-ready products, and obtain CE certification in three years, thanks to the India advantage. The advent of AI opens up many new possibilities in how the medical field thinks about patient care. In large and emerging markets like India, where doctors are in severely short supply, AI will help enhance the quality of patient care by automating tasks like reading diagnostic images, providing real leverage to doctors, especially in smaller towns. In developed markets like the US that are struggling to bring down the cost of healthcare, AI's ability to prompt timely interventions will both improve outcomes and reduce overall treatment costs. The sharp rise in investment in AI healthcare solutions illustrates the strong outlook and high level of interest in this space.

Canadian immigration officials deny travel visas to a large number of AI researchers and research students scheduled to attend the NeurIPS and Black in AI workshop, event organizers said. Among the people who have been denied entry is Tẹjúmádé Àfọ njá, co-organizer of the NeurIPS Machine Learning workshop for the developing world. NeurIP Information Processing Systems (NeurIPs) is the world's largest annual international AI conference, according to the AI Index 2018 report. The conference is scheduled to be held from December 8 to 14 in Vancouver, Canada. On Tuesday, Black in AI co-founder and Google AI researcher Timnit Gebru said that 15 of the 44 attendees who planned to join the workshop on December 9 were denied entry.

Machines don't understand much of anything, especially not things such as ironic speech, but machine learning may be able to assist humanity in some way by counting the instances of linguistic and semantic constructions that indicate satire or misleading news, according to a new study by tech startup AdVerifai, in partnership with George Washington University and Amazon's AWS. A lot of nuances of writing are lost on the internet -- things such as irony. That's why satirical material such as the writing of Andy Borowitz on the website of The New Yorker magazine has to be labeled as satire, to make sure we know. Scientists in recent years have become concerned: What about writing that isn't properly understood, such as satire mistaken for the truth, or, conversely, deliberate disinformation campaigns that are disguised as innocent satire? And so began a quest to divine some form of machine learning technology that could automatically identify satire as such and distinguish it from deliberate lies.

There was a time when Nineteen Eighty-Four required some suspension of disbelief: it didn't seem possible, in the first several decades after the book's publication, that any government or institution would have the resources and organisation to put transmitting and receiving devices in every home and then monitor the information they captured. We now know how very plausible that is. What Orwell didn't guess was that people would, at the prompting of Amazon and Apple, actually invite such things into their homes. No state programme of installation was needed. That the future has become the present, in shapes that weren't quite predicted, is part of the premise of Hello, Robot, an exhibition now showing at the V&A Dundee.

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An illustration representing Deep-Z, an artificial intelligence-based framework that can digitally refocus a 2D fluorescence microscope image (at bottom) to produce 3D slices (at left). A University of California, Los Angeles research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. The researchers use artificial intelligence to turn two-dimensional images into stacks of virtual three-dimensional slices showing activity inside organisms. In a study published in Nature Methods on November 4, 2019, the scientists also reported that their framework, called "Deep-Z," was able to fix errors or aberrations in images, such as when a sample is tilted or curved. Further, they demonstrated that the system could take 2D images from one type of microscope and virtually create 3D images of the sample as if they were obtained by another, more advanced microscope.

The MarketResearch.Biz report offers a holistic summary of the Artificial Intelligence Market with the assistance of application segments and geographical regions(United States, Europe, China, Japan, geographical area, India, Central & South America, ROW) that govern the market presently. Global Artificial Intelligence market report 2019 offers a specialist and in-depth investigation on the current situation with global Artificial Intelligence industry along the edge of the aggressive scene, Market share and revenue forecast 2028. The report originally presented the basics: definitions, groupings, applications, and business chain overview; industry strategies and plans; product particulars; delivering forms; value structures so on. At that point, it investigated the world's fundamental locale economic situations, together with the product value, benefit, capacity, creation, ability use, supply, request, and business rate, and so on. At last, the report presented a fresh out of the box new task SWOT investigation, speculation attainability examination, and venture return investigation.