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Why The Best Fraud Defenses Need Artificial And Human Intelligence

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Mari Anne Bayliss, senior director of solution management at CyberSource, told Karen Webster that simply relying on machine learning as a weapon …


Machine Learning Superior to Logistic Risk Scores for Predicting Mortality Risk After TAVI - The Cardiology Advisor

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Machine learning was found to be superior to logistic risk scores in predicting intrahospital all-cause mortality after transcatheter aortic valve implantation (TAVI), according to study results published in Clinical Research in Cardiology. Current strategies for identifying patients eligible for TAVI rely on risk assessment tools such as the Society of Thoracic Surgeon's Risk Score (STS score). The predictive power of these tools is poor, and improved options for risk stratification of TAVI patients are needed. In this retrospective analysis of data from 451 patients, investigators aimed to evaluate whether machine learning models could be used to predict clinical outcomes for patients after TAVI. A total of 83 features, including patient demographics, comorbidities, laboratory data, electro- and echocardiogram findings, and computed tomography (CT) results, were used to train and test the predictive models.


Turtle One Announces Listing of HYPRdat Patent for Sale on Allied Security Trust

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Turtle One Inc. recently announced it had listed its full patent for HYPRdat on Allied Security Trust. The HYPRdat algorithm is a completely new approach that replaces B-Tree search architecture by mathematically calculating data rather than performing alphanumeric comparisons. The increased accessed speed demonstrated by HYPRDAT has demonstrably outpaced current B-Tree models in documented third-party tests. AST is a trusted member-driven cooperative that provides a safe platform, forum, and risk mitigation services for tech companies and tech patents. Full details of the HYPRdat patent are available for review online.


Health: Medtronic Acquires Medicrea, Pioneer in Spine Surgery with AI - Actu IA

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Medtronic and Medicrea announced in a press release that they are in the process of finalizing the acquisition by the US company of the Lyon-based SME. The latter is one of the pioneers in transforming spinal surgery through artificial intelligence, predictive modeling and customized spinal implants. The agreement between the two players will be achieved through the acquisition by Medtronic of all outstanding Medicrea shares. With a focus on predictive medicine, Medicrea designs, manufactures and distributes more than 30 families of FDA-approved implantable devices, which have been used in more than 175,000 surgical procedures worldwide to date. Medicrea is a Lyon-based SME with 175 employees, 35 of whom work in its subsidiary Medicrea USA Corp. based in New York. The company has its own ultra-modern production unit in Lyon, dedicated to the machining and development of custom implants by 3D printing from titanium powder.


Artificial Intelligence: It's Importance to the Internet – IAM Network

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The future the place individuals can delegate mundane duties to a machine is just not removed from taking place. From beginning the laundry down to cooking dinner after an extended day is about to be over. Artificial Intelligence has actually helped form our web at present. Things that we solely see on sci-fi films could also be nearer than you suppose. With the web making issues potential, which is unthinkable many years in the past, you'll marvel what it's able to underneath the affect of AI.


Artificial Intelligence in Video Games Market Is Booming Worldwide

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Our analysts monitoring the situation around the Globe explain that after COVID-19 crisis the market will generate remunerative prospects for producers. The goal of the report is to provide a further illustration of the current scenario, economic slowdown and effect of COVID-19 on the industry as a whole. A new Profession Intelligence Report released by Stats and Reports with the title Global Artificial Intelligence in Video Games Market "can grow into the most important market in the world that has played an important role in making progressive impacts on the global economy. Global Artificial Intelligence in Video Games Market Report presents a dynamic vision to conclude and research market size, market hope and competitive environment. The study is derived from primary and secondary statistical data and consists of qualitative and numerical analysis.


Council Post: Integrating Science With Data For Reliable Machine Learning Models

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I consult and educate companies to transform technology and data into a valuable, measurable, and monetizable business asset. In my data analytics and machine learning (ML) consulting engagements, I often come across use cases aimed at solving scientific problems using data, such as predicting the failure of a turbine or forecasting the carbon footprint of our IT data center. But what exactly is a scientific problem, and how is it different from a data problem? Is it really necessary to validate a known scientific fact or model again with data? Before answering these questions, let's define some key terms and scientific laws needed to answer these questions.


Modelling Credit Card Fraud Detection

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Credit card frauds are a "still growing" problem in the world. Losses in frauds were estimated in more than US$27 billion in 2018 and are still projected to grow significantly for the next years as this article shows. With more and more people using credit cards in their daily routine, also increased the interest of criminals in opportunities to make money from that. The development of new technologies puts both criminals and credit card companies in a constant race to improve their systems and techniques. With that amount of money at stake, Machine Learning is surely not a new word for credit card companies, which have been investing on that long before it was a trend, to create and optimize models of risk and fraud management.