Source – hotelowner.co.uk Artificial intelligence or AI. It’s a term we’re hearing increasingly often; from online customer support chat bots to virtual assistants, it seems AI is quickly becoming part of our everyday life. The growth of AI driven solutions and, in particular, the application of machine learning can now be seen in almost every industry. Read More

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Source – devex.com SAN FRANCISCO — A new microscope will use image recognition software and machine learning technology to identify and count malaria parasites in a blood smear. The EasyScan GO, announced at MEDICA, the medical industry’s leading trade fair, is the result of a partnership between the Global Good Fund, a Seattle-based group funded by philanthropist Bill Read More

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Source – businessnewsdaily.com There’s a lot of buzz in the tech industry, especially with cutting-edge technologies like artificial intelligence and machine learning becoming more mainstream. While many professionals understand that these technologies will make their jobs easier, or even take over certain tasks, there’s also a lot of confusion: machine learning, automation – what’s the difference Read More

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Source – thenation.com While speaking on a panel earlier this year, I watched an expert in artificial intelligence reassure a group of anxious professionals with an analogy: Many people can’t explain how a car runs, but they don’t hesitate to get into one. In other words, consumers will embrace the benefits of technology without asking too Read More

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Source – informationweek.com There’s great value for companies to use automation technologies in analytics, taking advantage of the vast data sets now available. Making machine learning models more precise isn’t just about technology; but a reimagination of business structure and the roles of tech and people. Nearly every industry today is swimming in data, and the Read More

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Source – federalnewsradio.com In light of the federal cybersecurity workforce shortage, turning to machines and automation to help secure federal systems and networks is no longer a suggestion; it’s a necessity. This shortage can be attributed to several factors, one of which is that a lot of person-power is spent on mundane tasks that don’t need Read More

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Source – information-age.com Artificial intelligence (AI) has matured significantly in the last decade. Dubbed by Professor Stephen Hawking as “either the best, or the worst thing, ever to happen to humanity” there’s no denying that AI will have a significant impact on our society. While it is unlikely to be as immediate or spectacular as our Read More

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Source – infoq.com Microsoft and AWS have recently announced a new collaboration aimed at democratizing deep learning and artificial intelligence. Gluon is a joint effort between Microsoft Research and Amazon AI and is intended to make developing solutions using machine learning easier and quicker. Gluon is an open-source deep learning and neural network solution that is exposed through a Read More

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Source – gulfnews.com Dubai: Growing competence in the area of big data and analytics promises to transform the cybersecurity solution space, said an industry expert. Harish Chib, vice-president for Middle East and Africa at Sophos, said that while threat actors keep changing their modus operandi and tools for the attack, many modes of operation continue Read More

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Source – itpro.co.uk Technology revolutions come and go, and artificial intelligence is the next big innovation making its impact on the world. Generally, this term refers to machines and software capable of imitating human behavior. Often, AI programs can perform cognitive functions you’d expect a human mind to possess. Examples include learning, problem-solving, perception, planning and Read More

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Source – motherboard.vice.com The incident marks the latest in a series in which artificial intelligence algorithms have been found to be biased. The problem is the way they’re trained: In order to “teach” an artificial intelligence to identify patterns, it needs to be “fed” a massive trove of documents or images, referred to as “training data.” Training data can include Read More

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Source – lasvegassun.com An undated handout image of a simulation for the virtual testing of Waymo’s driverless technology. As the computers that operate driverless cars digest the rules of the road, some engineers think it might be nice if they can learn from mistakes made in virtual reality rather than on real streets. SAN FRANCISCO — As Read More

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Source – marketwired.com In his panel session, Jeff McMillan, Chief Analytics & Data Officer at Morgan Stanley said, when talking about AI, “Imagine a world in which we were able to tech the intellectual capital of the firm and take hundreds and hundreds and hundreds of people’s knowledge and out it into an infrastructure that can Read More

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Source – informationweek.com Staggering predictions were shared at the 2017 Gartner Symposium earlier this month. By 2021 Gartner predicts, artificial intelligence augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. It is no wonder why companies are moving swiftly to embrace these emerging technologies to assist people and attain a Read More

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Source – zdnet.com Pervasive data science is becoming a core enabler of business innovation and competition. Given this importance, it’s worth examining the context of data science to consider its trajectory and future value. In my view, primary challenges around data science for business leaders comes from threesources: Business people do not always understand the power and implications Read More

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Source – news.mit.edu Just in time for Halloween, a research team from the MIT Media Lab’s Scalable Cooperation group has introduced Shelley: the world’s first artificial intelligence-human horror story collaboration. Shelley, named for English writer Mary Shelley — best known as the author of “Frankenstein: or, the Modern Prometheus” — is a deep-learning powered artificial intelligence (AI) system Read More

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Source – insidebigdata.com The wonders of automation have brought incredible efficiencies to standard IT monitoring practices, especially when it comes to the detection-prevention-analysis-response (DPAR) cycle. Automating detection and remediation steps via alerts has alleviated massive amounts of stress for IT teams and businesses alike, providing the data needed to understand how and why issues happen. But Read More

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Source – forbes.com Imagine the following scenario. It’s Monday morning. You wake up to an alarm. It’s been set automatically and synchronized to your work schedule for the day. As you partake in your hygiene regimen, your key nutritional KPIs (such as hydration, body mass, and hemoglobin levels) are calibrated for you. You strap yourself into Read More

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Source – forbes.com In the past few years, new categories of products have emerged thanks to the extraordinary advances in machine learning (ML) and deep learning (DL). These new techniques power product recommendations, computer-aided diagnosis in medical imaging and self-driving cars, just to name a few. Most ML and DL algorithms require compute profiles (hardware, software, Read More

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Source – firstpost.com The notion of artificial intelligence is something which has long excited technological society. Among the various stories constructed around it are (as in the film Terminator) those of robots ruling the world with humans fighting a losing battle against them. Gary Kasparov, the world chess champion, was matched against an IBM supercomputer named Deep Read More

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Source – huffingtonpost.com In the quest to personalize your experience with the latest technologies, and as a reward for your dedicated participation in signing up for new services without reading the fine print in their consent agreements, the powers that be have a special gift for you. Yes, it’s your own personal panopticon! Previously only reserved for fiction Read More

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Source – cnbc.com From Amazon’s Alexa learning which restaurants its users like, to Apple’s iPhone predicting the next word in a text message, artificial intelligence (AI) is already having a significant influence on everyday life. But Northwestern economist Benjamin Jones and his colleagues are now asking what happens to economic growth if artificial intelligence starts generating original thought. Read More

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Source – forbes.com We deal with a lot of data every day, but the way we deal with it is changing rapidly. Increasingly, machine learning (ML) and artificial intelligence (AI) are cropping up as solutions for handling data. The two are often used interchangeably, and although there are some parallels, they’re not the same thing. The Read More

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Source – hbr.org Artificial intelligence is no longer just a niche subfield of computer science. Tech giants have been using AI for years: Machine learning algorithms power Amazon product recommendations, Google Maps, and the content that Facebook, Instagram, and Twitter display in social media feeds. But William Gibson’s adage applies well to AI adoption: The future Read More

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Source – computerworlduk.com Over the last few years, machine learning threat detection and defence company Darktrace has been something of a rising star in the cybersecurity industry. Its core unsupervised machine learning technology lend it the reputation of being one of the best in AI-enabled security. But what exactly do those on the cutting edge of cybersecurity research worry Read More

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Source – finextra.com Navigating the turbulent waters of Artificial Intelligence (AI) and Machine Learning (ML) can seem like a daunting task to the uninitiated. In fact even the question of how AI relates to ML is answered differently depending on who you ask, as evidenced by the numerous articles about on these topics. In this area, Read More

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Artificial Intelligence