Source – cio.com It’s hard to remember a time when cyber-based security threats were so few and far between that they could be easily identified and countered by well-trained IT security experts. Today, the volume and diversity of potential threats long ago outstripped the ability of human professionals to evaluate them unaided. Today, security pros rely Read More

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Source – interestingengineering.com A prominent feature in science fiction over the years has been artificial intelligence. Since the earliest days of computing, scientists and other thinkers have been fascinated by the notion of creating a machine capable of replicating the human brain. It used to be thought that the analogy of the human brain is like a Read More

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Source – sciencedaily.com “The fundamental questions cognitive neuroscientists and computer scientists seek to answer are similar,” says Aude Oliva of MIT. “They have a complex system made of components — for one, it’s called neurons and for the other, it’s called units — and we are doing experiments to try to determine what those components calculate.” Read More

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Source – thenextweb.com There’s a misconception that to leverage machine learning you need to be a mathematical genius. In reality, most machine-learning applications use well-understood, well-tested, off-the-shelf algorithms. For many developers, especially those at startups, the real challenge lies in training the data. Overcoming this challenge takes clever product development with an eye on user experience. Read More

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Source – financialexpress.com India must take a leaf from China’s book on improving healthcare. China, which, in 2015, had 3.6 physicians for every 1,000 population is deploying artificial intelligence (AI) in a big way to make up with automation what it lacks in manpower in healthcare. An article in the MIT Technology Review (MTR) talks of Read More

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Source – forbes.com Will people and AI-powered machines ever get along? When it comes to artificial intelligence and machine learning, the prevailing fear is that it will take jobs away. However, a pair of Accenture thought leaders suggest a different, far less dystopian future in an AI and machine learning-driven business world. That is, artificial intelligence and machine Read More

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Source – mobilesyrup.com Two developers have created a new artificial intelligence system that aims to make managing push notifications easier. Taiwan-based developers, TonTon Hsien-de Huang and Hung-Yu Kao, have figured out a way to input user data and habits into a neural network that’s able to learn what notifications users care about and what ones they Read More

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Source – venturebeat.com Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. We read these words constantly. We also hear they will leave no area or industry untouched. But what about the arts? How have they influenced or aided highly creative areas? Let’s take a look at Read More

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Source – techtarget.com It’s important to understand the distinction of machine learning versus other forms of automation analytics. Older-generation network management systems relied on rule-based systems. These systems are relatively easy to build, because they rely on simple rules network experts can use to diagnose network problems. Rule-based systems define an action to take when a rule Read More

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Source – sociable.co MIT has launched a new project, the MIT Intelligence Quest, whose aim is to “advance the science and engineering of both human and machine intelligence.” The goal of this project is to discover the foundations of human intelligence, and how this knowledge can be applied to the burgeoning science and technology of Artificial Intelligence. Read More

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Source – information-age.com nearly half (48%) of UK recruitment agencies are looking to increase their levels of technological investment over the coming year, with a view to improving client and candidate engagement, and driving improvements in day-to-day operational efficiency.  The rise of artificial intelligence – in all its myriad forms – should theoretically help them achieve Read More

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Source – cloudpro.co.uk The algorithm developed using TensorFlow and Google Cloud sees 15-times greater success rate Ocado Technology is fighting fraud with machine learning, improving its detection rate by 15 times since using automation to detect wrongdoing. The technology division of the online supermarket has built its own machine learning-based algorithm with Google’s TensorFlow and Google Read More

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Source – indiatimes.com The buzzword right now is artificial intelligence. Within artificial intelligence, the sub-sector that is gaining the most traction is deep learning. You hear it everywhere and the talk is that it will disrupt all major industries. But, what really is Deep Learning? Deep learning is a method of artificial intelligence which is used to help Read More

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Source – healthcareitnews.com LAS VEGAS — Teams looking to AI and machine learning as a solution to their system’s problems should be reminded that the technologies are not a magic bullet, Leonard D’Avolio, co-founder of Cyft and an assistant professor at Harvard Medical School and Brigham & Women’s Hospital, said at HIMSS18 Monday. In fact, he Read More

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Source – moneycontrol.com Google has made its machine learning education program available to everyone— from researchers to developers and companies, to students. The Learn with Google AI portal which was earlier exclusive to Google employees, called Googlers, is now available to everyone else with an interest in the field. Anyone, from novice to an expert, can learn the Read More

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Source – forbes.com The first wave of cloud computing is attributed to platforms. Google App Engine, Engine Yard, Heroku, Azure delivered Platform as a Service (PaaS) to developers. The next big thing in the cloud was Infrastructure as a Service where customers could provision virtual machines and storage all by themselves. The third wave of cloud Read More

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Source – diginomica.com Not for the first time in its history, artificial intelligence is rising on a tide of hype. Improvements to the technology have produced some apparently impressive advances in fields such as voice and image recognition, predictive pattern analysis and autonomous robotics. The problem is that people are extrapolating many unrealistic expectations from these Read More

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Source – born2invest.com Artificial intelligence (AI) and machine learning have been around for many years. A computer or any smart device can work as efficiently as a human being in reading and computing data. Through AI, a device can perceive the environment and take necessary actions to increase chances of success. AI and machine learning have aided Read More

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Source – globenewswire.com MemSQL, provider of the fastest real-time data warehouse, today announced the results of a survey commissioned with O’Reilly Media on the adoption of artificial intelligence (AI) and machine learning (ML) in the workplace. According to the survey of over 1,600 respondents, 61 percent, regardless of company size, indicated ML and AI as their Read More

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Source – bgr.in Twitter is now using machine learning to automatically crop picture previews to their most interesting part. The use of machine learning and neural networks for image recognition as become common with both Google and Facebook heavily deploying the technology on their platforms. Now, Twitter is also joining with its own implementation with a single aim Read More

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Source – wired.com ARTIFICIAL INTELLIGENCE SYSTEMS are going to crash some of our cars, and sometimes they’re going to recommend longer sentences for black Americans than for whites. We know this because they’ve already gone wrong in these ways. But this doesn’t mean that we should insist—as many, including the European Commission’s General Data Protection Regulation, do—that artificial intelligence should be able to explain Read More

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Artificial Intelligence