Every one has their secrets – ma chine learn ing needs to re spect pri vacy -- FCAI

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How can we teach artificial intelligence to make unbiased decisions? How can we protect citizens' privacy when processing extensive amounts of data? Questions such as these need answers before the application of artificial intelligence and machine learning can be extended further. In spring 2018, inboxes filled to the point of frustration with messages from businesses and organisations announcing their measures related to the entry into force of the EU's General Data Protection Regulation, or GDPR by its common name. The purpose of the regulation was to improve the privacy of citizens whose personal details are stored in various databases, a matter that is closely related to the research conducted by Associate Professor Antti Honkela at the University of Helsinki.


AI Chatbot Solutions AI NLP ChatBots& Cognitive Assistance for Enterprise Solutions

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We offer chatbots that are able to perform in the number of relative advantages. Our experts have the capability to present the desired services for your business that interact with your customers with unique controls and features. We offer AI chatbotsto provide instant customer service and improve your business brand value. Our intelligent bots can compute faster,automate task, enabling your business to concentrate on significant operations. Fusion Informatics is a leading AI chatbot development company holding experts to implement AI in chatbot technology.


New Artificial Intelligence Genetic Algorithm Automatically Evolves to Evade Internet Censorship

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Internet censorship by authoritarian governments prohibits free and open access to information for millions of people around the world. Attempts to evade such censorship have turned into a continually escalating race to keep up with ever-changing, increasingly sophisticated internet censorship. Censoring regimes have had the advantage in that race, because researchers must manually search for ways to circumvent censorship, a process that takes considerable time. New work led by University of Maryland computer scientists could shift the balance of the censorship race. The researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns how to circumvent censorship.


Artificial Intelligence: How 5 Tools Used To Mold Digital Marketing

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Digital marketing course in Coimbatore is anticipated to enter its 2nd massive disruption soon (the primary one became called internet 2.Zero disruption, when customers became empowered with new equipment to have interaction with one another and connect at once to manufacturers). And this soon-to-happen disruption is era-driven. Smart technology is disrupting marketing with deep learning, herbal language processing, the Internet of Things, device mastering and extra. But certainly one of the biggest era tendencies affecting all areas of virtual advertising is artificial intelligence. Artificial Intelligence (AI) is largely coaching the system to assume and react as humans might.


Govt Eyes Artificial Intelligence Strategy Completion in 2020

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TEMPO.CO, Jakarta - The Indonesian Government is eyeing to complete its national strategy to develop artificial intelligence (AI) in 2020 after the Research and Technology Minister Bambang Brodjonegoro admitted that it was not yet included in the national roadmap but was only part of the country's preparation toward the industrial revolution 4.0.


Phototheca v2019 Utilizes Deep Neural Networks for Human and Pet Detection

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Startup Lunarship Software announces version 2019.11 of its photo organizer Phototheca, which is now equipped with deep neural networks to search for people and cats in photographs automatically. Phototheca app users who already benefitted from the product's photo organization features, will now be able to organize and manage photos faster and more accurately. The main feature in the new version of the Phototheca photo organizer is the implementation of Deep Learning algorithms for face detection and recognition of humans and cats. Having emerged in the late 2000s, Deep Learning is a revolutionary artificial intelligence technology that allows training artificial neural networks on large volumes of data. Many of the most innovative and advanced product features currently available, such as facial recognition on Facebook and Google, as well as Apple's Siri's voice recognition, are all based on Deep Learning.


Fleet Management and mitigating risks from common road accidents

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The high frequency of road accidents makes driver safety one of the biggest challenges facing Fleet Management each day. In the US alone, 6 million car accidents every year happen every year, with more than 40,000 motor vehicle accident-related deaths in 2017. Several factors come into play when looking at the cause of traffic accidents. It could be the weather, changing road conditions, or the fault of other road users such as another driver or pedestrian. Apart from the risks posed by accidents to drivers, companies face significant losses when such accidents and traffic violations occur.


Artificial intelligence algorithm can learn the laws of quantum mechanics

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An interdisciplinary team of chemists, physicists, and computer scientists from the University of Luxembourg, the University of Warwick and the Technical University of Berlin have developed a deep machine learning algorithm that can predict the quantum states of molecules, so-called wave functions, which determine all properties of molecules. Artificial intelligence and machine learning algorithms are routinely used to predict our purchasing behaviour and to recognise our faces or handwriting. In scientific research, artificial intelligence is establishing itself as a crucial tool for scientific discovery. In chemistry, AI has become instrumental in predicting the outcomes of experiments orsimulations of quantum systems. Artificial intelligence achieves this by learning to solve fundamental equations of quantum mechanics.


Watch Out Finance, Business, Tech Workers. Artificial Intelligence Is Coming.

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Artificial intelligence is coming for America's high-paid professions as it creates winners and losers across the labor market like never before. White-collar jobs and better-educated occupations along with production workers are among the most susceptible to AI's spread into the economy, according to a Brookings Institution report Wednesday that draws on a new analysis of patent data by Stanford University graduate student Michael Webb. "Webb's modeling suggests that just as the impacts of robotics and software tend to be sizable and negative on exposed middle- and low-skill occupations, so AI's inroads are projected to negatively impact higher-skill occupations," researchers Mark Muro, Jacob Whiton and Robert Maxim wrote, noting that their analysis shows potential impacts can be both positive and negative. Workers with graduate or professional degrees will be almost four times as exposed to AI as workers with just a high school degree, the report showed. The researchers also concluded that AI appears most likely to affect men, prime-age and white and Asian American workers.


Prepare Your Company for the Artificial Intelligence Economy

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Approximately 70% of businesses could incorporate the use of AI technology in some way by 2030. These systems have already expanded enough to increase GDP of local economies by 16%. As the industry grows, AI will affect the economy from several angles: modifying the current job market, possible job elimination due to automation, innovating products and services, and increasing activity in the global marketplace.