Source – https://www.analyticsinsight.net/ AI applications are becoming the one-stop solution for diagnosing critical diseases Artificial intelligence and machine learning, are dominating every aspect of our lives. AI is used in various areas like healthcare, education, and defense. With the advancement of technology, better computing power, and the availability of large datasets containing valuable information, the use of AI and ML models Read More

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Source – https://www.analyticsinsight.net/ Organisations often block their own path towards scaling by delaying innovations purely out of their loyalty to their core businesses. Unfortunately, fixed organisational structures and legacy operating models result in frailty, disabling the sight of potential market changes. Enterprises hesitate to build products or services with new technology as they are unsure Read More

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Source – https://www.analyticsinsight.net/ As known to many, Google has recently released Model Search which is an open-source platform. This caters to developing efficient and best machine learning models automatically. Rather than focusing on a particular domain, Model Search is domain agnostic and flexible beyond imagination. Well, not just that. To our surprise, it is even Read More

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Source – https://jpt.spe.org/ Algorithms are taking over the world, or so we are led to believe, given their growing pervasiveness in multiple fields of human endeavor such as consumer marketing, finance, design and manufacturing, health care, politics, sports, etc. The focus of this article is to examine where things stand in regard to the application Read More

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Source: searchenterpriseai.techtarget.com Overfitting is a common modeling error all enterprises who deploy machine and deep learning will encounter. When machine learning models allow noise, random data or natural fluctuations in data to dictate target functions, the model suffers in its ability to generalize new data beyond its training set.  Data scientists must build their models Read More

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Source: rtinsights.com New research from the Lawrence Livermore National Laboratory (LLNL) demonstrated deep learning surrogate models performing as well, and sometimes better, than more expensive simulators. The researchers tested the surrogate model on complicated inertial confinement fusion problems and found it could accurately emulate scientific processes, while also reducing compute time from half an hour to a Read More

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Source: pubs.rsna.org Deep learning with convolutional neural networks (CNNs) has shown tremendous success in classifying images, as we have seen with the ImageNet competition (1), which consists of millions of everyday color images, such as animals, vehicles, and natural objects. For example, recent artificial intelligence (AI) systems have achieved a top-five accuracy (correct answer within Read More

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Source: techcrunch.com It’s one thing to develop a working machine learning model, it’s another to put it to work in an application. Cortex Labs is an early-stage startup with some open-source tooling designed to help data scientists take that last step. The company’s founders were students at Berkeley when they observed that one of the Read More

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Source: healthitanalytics.com December 24, 2019 – Researchers at Purdue University have created a new framework for mining data to train machine learning models used in drug development. Using machine learning for drug development requires researchers to create a process for the computer to extract needed information from a pool of data points. Drug scientists have to pull biological data and train Read More

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Artificial Intelligence