Source: healthitanalytics.com December 11, 2019 – Twenty-two percent of healthcare organizations use a software platform that provides artificial intelligence capability, according to a recent report from HealthLeaders Media. This is an eight-point increase from 2017, the organization noted, indicating that AI use is steadily rising among health systems. Thirty-one percent said they plan to have AI capability within the Read More

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Source: venturebeat.com Medical imaging is among the most popular application of AI and machine learning, and with good reason. Computer vision algorithms are naturally adept at spotting anomalies experts sometimes miss, in the process reducing wait times and lightening clinical workloads. Perhaps that’s why although the percentage of health care organizations that have adopted AI Read More

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Source: analyticsinsight.net Data science is weaved into our lives in many aspects. Its range of adaptability across industries and sectors is wide. Not only in private organizations, but data science serves in the public sector as well. The government agencies and institutions are using the technology to serve their country and countrymen better. Through analyzing Read More

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Source: techxplore.com Carnegie Mellon University computer scientists have taken a deep learning method that has revolutionized face recognition and other image-based applications in recent years and redirected its power to explore the relationship between genes. The trick, they say, is to transform massive amounts of gene expression data into something more image-like. Convolutional neural networks Read More

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Source: forbes.com This year, we have seen all the hype around AI Deep Learning. With recent innovations, deep learning demonstrated its usefulness in performing tasks such as image recognition, voice recognition, price forecasting, across many industries. It’s easy to overestimate deep learning’s capabilities and pretend it’s the magic bullet that will allow AI to obtain General Intelligence. In truth, we are Read More

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Source: dbta.com Processing big data in real-time for artificial intelligence, machine learning, and the Internet of Things poses significant infrastructure challenges. Whether it is for autonomous vehicles, connected devices, or scientific research, legacy NoSQL solutions often struggle at hyperscale. They’ve been built on top of existing RDBMs and tend to strain when looking to analyze Read More

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Source: vccircle.com Artificial intelligence (AI) is accepting the situation as a warrior against digital threats over the globe. It has gotten mainstream in military space, yet security organizations are likewise consolidating AI technologies for using deep learning to discover likenesses and differences within a data set. Organizations like Microsoft are putting 1 billion USD in Read More

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Source: containerjournal.com McAfee announced today it has added a container security module to McAfee MVISION Cloud following its acquisition last August of NanoSec, a provider of a set of tools for segmenting network traffic between containers. John Dodds, director of product for McAfee, says McAfee MVISION Cloud for Containers combines the “nano segmentation” overlays created Read More

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Source: healtheuropa.eu Along with the benefits come new risks and regulatory challenges meaning doctors now have to consider how best to reduce risk when it comes to medical technology. From spotting malignant tumours to reading CT scans and mammograms, Artificial Intelligence and Machine Learning-based technology is faster and more accurate than traditional devices – or even the best Read More

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Source: itproportal.com You see them all over city streets: pedestrians wearing headphones or earbuds – their faces glued to their phones as they stroll along oblivious to their surroundings. Known as “twalking,” the behavior is not without its dangers. Headphone-wearing pedestrians often can’t hear the auditory cues – horns, shouts, or the sound of approaching Read More

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Source: wsj.com Software robots designed to handle routine work around the office are undertaking more ambitious jobs. By combining robotic process automation with machine-learning capabilities, software makers are developing robots that can tackle higher-level workplace functions, including many that require a degree of judgment. Some of these new roles include verifying a signature on a check, assessing Read More

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Source: dailysabah.com Artificial Intelligence (AI) offers acceleration in the treatment of patients as it can estimate and analyze data quickly when symptoms occur, according to an expert. Misdiagnoses experienced during examinations performed in diagnosis stages of diseases will significantly drop with AI, a social media specialist told Anadolu Agency (AA). Deniz Ünay said the process Read More

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Source: mdmag.com A new machine-learning model can predict response to hypomethylating agents in patients with myelodysplastic syndromes, according to new research presented at the American Society of Hematology (ASH) 2019 Annual Meeting in Orlando. Investigators from the Cleveland Clinic developed a clinical artificial intelligence (AI) model to predict response and resistance to hypomethylating agents after Read More

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Source: aithority.com Despite the widespread adoption of AI, there’s one misconception that still affects Machine Learning enterprises. Consumers wary of new Machine Learning technology – 72% of Americans, according to one study – often have a notion of AI as a monolith, with a single all-knowing algorithm controlling everything from our self-driving cars and smart refrigerators to the very stars and beyond. Read More

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Source: siliconcanals.com While millions of diagnostic examinations are carried out annually, chest X-rays play a vital role in diagnosing several diseases. But the usefulness of the same can be limited due to the challenges in interpretation that need thorough and rapid evaluation of 2D image depicting complex, 3D organs, and disease processes. Sometimes, major details can be Read More

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Source: infoworld.com Netflix has open sourced Metaflow, an internally developed tool for building and managing Python-based data science projects. Metaflow addresses the entire data science workflow, from prototype to model deployment, and provides built-in integrations to AWS cloud services.  Machine learning and data science projects need mechanisms to track the development of the code, data, and Read More

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Source: fiercehealthcare.com The Department of Veterans Affairs (VA) wants to become a leader in artificial intelligence and launched a new national institute to spur research and development in the space. The VA’s new National Artificial Intelligence Institute (NAII) is incorporating input from veterans and its partners across federal agencies, industry, nonprofits, and academia to prioritize AI R&D to improve Read More

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Source: coindesk.com Much like consumers who are wary of AI, enterprises are queasy about putting their full trust in a “black box” where machine learning algorithms are indiscriminately applied to vast data sets. But Microsoft, which helps thousands of firms manage their data, claims a blockchain can add trust and a degree of transparency, assuaging Read More

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Source: thehill.com The Federal Trade Commission (FTC) issued a unanimous ruling against Cambridge Analytica on Friday, saying the company engaged in “deceptive practices” by harvesting personal data from millions of Facebook users leading up to the 2016 election. In its official opinion, approved by FTC commissioners in a 5-0 vote, the agency determined that Cambridge Analytica Read More

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Source: theprint.in Bengaluru: K. VijayRaghavan, Principal Scientific Adviser to the Government of India, has highlighted the distinction between raw data and making sense of it, saying data needs to be distilled well enough to extract information from it. Delivering the special address at Carnegie India’s Global Technology Summit in Bengaluru Thursday, VijayRaghavan spoke about data, knowledge, Read More

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Source: investors-corner.bnpparibas-am.com Deep learning and asset pricing models Following our first post, we now discuss the “Deep Learning in Asset Pricing” paper of Guanhao Feng from City University of Hong Kong. This proposes a departure from machine learning research that attempts to forecast directly financial asset returns and stumbles on the problem of a low signal-to-noise ratio in such returns. Instead, and to Read More

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Source: meritalk.com Federal artificial intelligence (AI) technology leaders agreed today that a human-centered approach to data management and automation generates stakeholder buy-in and improves agencywide perceptions of AI projects. At CXO Tech Forum: AI and Robotics Process Automation (RPA) in Government on Dec. 5, government officials speaking on several panels emphasized the importance of human-centered Read More

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Source: helpnetsecurity.com Signal Sciences, the fastest growing web application security company in the world, announced the general availability of the first application protection solution for Istio, the industry-leading open source service mesh for microservices architecture (MSA) applications. Signal Sciences continues to offer the first and only next-gen web application firewall (WAF) and runtime application self-protection Read More

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Source: theverge.com The personnel changes at Alphabet continue, this time with Mustafa Suleyman — one of the three co-founders of the company’s influential AI lab DeepMind — moving to Google. Suleyman announced the news on Twitter, saying that after a “wonderful decade” at DeepMind, he would be joining Google to work with the company’s head of AI Jeff Dean Read More

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Source: aithority.com dotData, the first and only company focused on delivering full-cycle data science automation and operationalization for the enterprise, announced that global technology leader Seiko Epson Corporation (“Epson”) has selected dotData to accelerate and democratize data science across its organization. Epson is a global technology leader and innovator across multiple categories including communications, wearables, and Read More

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Source: bbc.com So it was in October 2018, when I visited a company called Medopad, based high up in London’s Millbank Tower. This medical technology firm was working with the Chinese tech giant Tencent on a project to use artificial intelligence to diagnose Parkinson’s Disease. This degenerative condition affects something like 10 million people worldwide. Read More

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Artificial Intelligence