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 – https://www.selectscience.net/ Researchers have developed a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients When the COVID-19 pandemic struck in early 2020, doctors and researchers rushed to find effective treatments. There was little time to spare. “Making new drugs takes forever,” says Caroline Uhler, a computational biologist Read More

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Source: news-medical.net Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The intent of this work is to speed up drug repurposing, which is not a new concept – think Botox injections, first approved to Read More

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Source: infoq.com Facebook AI Research (FAIR) has announced the release of Opacus, a high-speed library for applying differential privacy techniques when training deep-learning models using the PyTorch framework. Opacus can achieve an order-of-magnitude speedup compared to other privacy libraries. The library was described on the FAIR blog. Opacus provides an API and implementation of a PrivacyEngine, which Read More

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Source: phys.org Machine-learning techniques, best known for teaching self-driving cars to stop at red lights, may soon help researchers around the world improve their control over the most complicated reaction known to science: nuclear fusion. Fusion reactions are typically hydrogen atoms heated to form a gaseous cloud called a plasma that releases energy as the particles bang into each Read More

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Source: techbeacon.com Organizations that adopt artificial intelligence (AI) in testing of microservices-based applications gain better accuracy, faster results, and greater operational efficiency. AI and machine-learning technologies have matured over the last few years, and today their application in automated testing can help in more ways than one. In fact, AI has redefined the way microservices-based applications are tested, especially when it Read More

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Source:-thedailychronicle Overview and Executive Summary: Data Science and Machine-Learning Platforms Market. This well articulated research report offering is an in-depth reference citing primary information as well as demonstrating nitty gritty developments in the Data Science and Machine-Learning Platforms market to harness a detailed overview of the global outlook of the Data Science and Machine-Learning Platforms Read More

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Source: roboticsbusinessreview.com The Mid-twentieth century sociologist David Reisman was perhaps the first to wonder with unease what people would do with all of their free time once the encroaching machine automation of the 1960s liberated humans from their menial chores and decision-making. His prosperous, if anxious, vision of the future only half came to pass Read More

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Artificial Intelligence