Category: artificial-intelligence

Artificial Intelligence: Radiology's Next Great Leap

Artificial intelligence (AI) refers to a variety of computer operations that would otherwise require human intelligence. AI and its variation called machine learning (ML) are making waves across several sectors of the healthcare industry.

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Hot Topics in Tech | April 2019 Newsletter

In the April issue of the “Hot Topics in Tech” newsletter series, we cover Generative Adversarial Networks (GAN) - a technique that promises to give imagination to artificial Intelligence (AI). This issue also briefly explores cultured meat and explores the potential impact of the recent FDA rulings on market and intellectual property activity.

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Hot Topics in Tech | October 2018 Newsletter | Maxval

This article provides a brief overview of the role of the autonomous nervous system in managing hypertension and describes various techniques related to neurostimulation. Patents revealing various energy-based techniques for neurostimulation, and devices related thereto which are available in the market are also presented.

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Hot Topics in Tech | September 2018 Newsletter | Maxval

This issue covers cardiovascular diseases and discloses the technological categories and products related to the use of renal denervation approach for managing hypertension. It also talks about the three main categories of Artificial Intelligence namely Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). They influence human life in the form of automated cars, virtual assistants, image recognition software, robotics, games, life science and so on. Read more on this report.

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Artificial Intelligence Innovation: A Case Study

 The artificial intelligence (AI) landscape is growing quickly.  Artificial intelligence startups raised $5B in 2016, a 10-fold increase since 2012.[1]  Tech giants (Google, Microsoft, IBM) are contributing heavily to this acceleration, both in academic and practical pursuits.  Google published 218 papers on machine learning in 2016, nearly double the number of publications in 2014.[2]  In December 2016, Microsoft launched a new venture fund specifically to evaluate and fund AI startups, kicking off the fund with an investment in Element AI, then acquiring Maluuba just one month later. [3] [4]

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