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Source- zdnet.com The UK’s National Health Service continues to suffer the longest funding squeeze since it was established 71 years ago. That financial pressure has resulted in the service missing targets for how soon cancer patients should be referred for treatment for the past three years and waiting times in Accident and Emergency departments being at record levels. Such Read More

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Source- customerthink.com Machine learning (ML) algorithms are changing nearly every industry. They’re increasing productivity, boosting sales and helping us make more informed decisions. Many organizations are either already leveraging the power of ML, or have it laid out in their roadmap as an opportunity worth pursuing. Trouble is, ML is complex and you might ask Read More

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Source- cmswire.com Marketing technology has evolved rapidly over the past decade, with one of the most exciting developments being the creation of publicly-available, cost-effective cognitive APIs by companies like Microsoft, IBM, Alphabet, Amazon and others. These APIs make it possible for businesses and organizations to tap into artificial intelligence (AI) and machine learning (ML) technology for Read More

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Source- searchnetworking.techtarget.com Machine learning has become a valuable component of network security products, but technology is a mixed blessing. Unfortunately, hackers can also employ machine learning. Machine learning in network security separates legitimate network and application operations from attacks by building a set of rules that characterize both activities. Meanwhile, attackers can use machine learning to probe Read More

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Source- jamaica-gleaner.com Machine learning is a subcategory of artificial intelligence where one builds models, programmes and applications, which become more accurate over time at predicting outcomes without explicitly being scripted or programmed to do so. With machine learning, one creates or defines algorithms that can receive input data and use a ­combination of statistical analysis Read More

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Source- darkreading.com Machine intelligence has become a technology player in fields from medical research to financial services. This year it began to make its presence felt in cybersecurity. The initial inroads have been tightly targeted, but some experts say more substantial uses are almost inevitable. “Intelligence” is a word heavily freighted with meaning in cybersecurity technology Read More

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Source- theguardian.com Having laid waste to the Atari classics and reached superhuman performance in chess and the Chinese board game, Go, Google’s DeepMind outfit has turned its artificial intelligence on one of the toughest problems in science. The result, perhaps, was predictable. At an international conference in Cancun on Sunday, organisers announced that DeepMind’s latest AI program, AlphaFold, had beaten all-comers Read More

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Source- cioreview.com As technologies today are integral part of our everyday life healthcare industry cannot constraint itself from the rising waves of the machine learning. Machine learning tools provide healthcare sector, the facilities, with opportunities to improve patient results. Also, makes physicians work faster, hospitals and laboratories come up with a more accurate diagnosis. Following are Read More

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Source- healthcareitnews.com Bon Secours Charity Hospital, a three-hospital health system that is part of Westchester Center Health Network, also known as WMCHealth, was using a risk scoring algorithm in its electronic health record that was not very accurate. THE PROBLEM As a result, WMCHealth missed some high-risk patients and classified other patients as high-risk who were Read More

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Source- zdnet.com Amazon has announced new, free courses in machine learning, offering all developers the same curriculum that it uses to train its own software engineers and data scientists. The company has over 30 online machine-learning courses, including video, labs, and documentation that have been used within Amazon for the past 20 years. The courses are Read More

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Source- itbrief.co.nz Technology is fighting death with data – including machine learning and artificial intelligence. Last week marked the annual Health Informatics New Zealand conference, in which local and global innovators spoke about how their work is changing local healthcare models. Amongst the New Zealand companies leading the way are Umbrellar and Auckland’s Mercy Radiology and Read More

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Source- agdaily.com For thousands of years, the survival of farmers’ crops — and finances — have been inextricably linked to the weather. Whether growing corn on the plains of Nebraska or wheat in the mountains of southeastern Turkey, Mother Nature’s seemingly unpredictable temperament has forced farmers to find innovative ways of better understanding soil moisture, rainfall, Read More

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Source- healthitanalytics.com Fueled by EHR data, machine learning tools have shown potential in improving several areas of care delivery, including sepsis prediction, chronic disease management, and cancer detection. As providers increasingly experience financial pressure to ensure patient safety, more organizations are seeking to use big data analytics tools to predict and prevent hospital-acquired conditions and potentially Read More

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Source- indiatimes.com The Indian IT industry is booming, thanks to emerging technologies in the sector, and we’re going to soon have a lot of jobs up for grabs. In fact, experts estimate there may be as over 14 lakh jobs available by 2027, across various technology sectors. The International Data Corporation (IDC) in its new report says there Read More

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Source- cioreview.com Healthcare sector is the wellspring of data. According to McKinsey, machine learning and big data in medicine could generate $100B annually, because AI Solutions in this industry provides better decision-making process, looks for innovation, develops efficiency and creates new gadgets and tools. • Deep patient is a machine learning representation of capturing hierarchical regularities Read More

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Source- newscenter.lbl.gov Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have launched two research projects to do just that. In collaboration with UC Berkeley, Berkeley Lab Read More

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Source- livemint.com Artificial intelligence (AI) is becoming ever more powerful. Consulting firm PwC estimates that AI could contribute up to $15.7 trillion to the global economy in 2030, more than the combined GDP of China and India today. The technology will soon be omnipresent—from household appliances to our financial, law and justice systems. That is why Read More

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Source- scitecheuropa.eu The University of Sussex has gathered a large set of data which they believe could be used by a machine learning system to reduce commuting stress. Some user issues with commuting are that it delays or disruptions to public transport or traffic can make it difficult to quickly assess the optimum route for your journey. The dataset could Read More

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Source- forbes.com How far will artificial intelligence (AI) go in disrupting our creative spirits? Will AI ever be a source of innovation in itself? We know artificial intelligence will supplant many manual tasks and routine decision-making, and there are plenty of demonstration projects in which AI systems write stories, make music and create artwork. However, AI Read More

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Source- spacenews.com MOUNTAIN VIEW, California –SES is working with the Massachusetts Institute of Technology to explore ways to use artificial intelligence and machine learning to simplify operation of its communications satellite fleet. “We have a very large fleet and tens of thousands of telemetry signals on each of our satellites,” Valvanera Moreno, SES system architecture and Read More

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Source- techradar.com Machine learning has the potential to transform the way organisations interact with the world, to move faster and to provide better customer experience. But while machine learning’s long-term potential certainly looks bright, its adoption in the enterprise may advance more slowly than originally thought. So what’s the holdup? John Rakowski, Market Specialist for Application Performance Read More

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Artificial Intelligence