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CES 2021: AI, Cloud Computing, and Digital Health Booming

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The global pandemic has forced all of us to go digital and online events are no longer uncommon, even when it comes to global shows such as CES. As one of the world's most influential tech events, CES is where breakthrough technologies converge, the sharpest innovators hit the stage, and the world's biggest brands do business. CES 2021 made history as the largest virtual tech event. It featured every aspect of the tech sector and covered over 40 product categories including AI, IoT and sensors, 5G connectivity, AR and VR, blockchain, digital health, drones, fintech, e-commerce, robotics, smart homes, and smart cities. Almost 2,000 companies launched their products during this event. Auriga certainly could not miss this first-ever all-digital CES 2021 and joined over 80,000 attendees from 167 countries to network with the global tech community, meet new prospects and partners, experience innovation, and discover new takeaways.


Auriga Attends Intel Experience Day 2019

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Intel Experience Day 2019, organized by Intel, one of the major innovative hardware and technology corporations worldwide, took place in Moscow at the end of October. Intel and partner companies presented the latest Intel hardware and software product implementations advancing IoT, AI, computer vision, machine learning, object recognition, and more. Many speakers shared their ideas and insights on trending industrial innovations like cloud computing, Big Data, and analytics, including Al Diaz, Intel's Vice President, Natalya Galyan, Intel's Regional Director for Russia, and Marina Alekseeva, CEO of R&D of Intel in Russia. Intel Experience Day 2019 attracted many IT market players who use Intel solutions in their work daily, and Auriga experts were among them. Several years ago, Auriga became a pioneer user of the Intel Multi-OS Engine tool to develop an innovative iPad application for patient monitoring.


3 Questions You Always Wanted to Ask about Machine Learning

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The cognitive and automation technologies behind artificial intelligence (AI) are quietly reshaping the world. Machine learning, deep learning, neural networks, biometrics, natural language processing, Big Data, and predictive analytics have unlocked our imagination, and things that were a dream a few decades ago are now a reality. According to the Gartner's 2016 Hype Cycle, machine learning is now at its peak of inflated expectations, emerging as one of the most innovative and diverse application technologies. Everybody in the tech world is talking about it day and night, though few have actually managed to practice it so far, and the following question certainly comes to mind. Machine learning is a burning subject right now, widely discussed in many articles and at nearly all tech events, but interestingly, it is not new.