Topics In Demand
Notification
New

No notification found.

Blog
Did you know......

May 19, 2019

428

0

By Jibu Elias

A machine-learning algorithm created at Carnegie Mellon was able to predict heart attacks four hours in advance with 80% accuracy. Another platform developed by AIME had a 87% accuracy in predicting dengue fever outbreaks three months in advance. Now they hope to similarly target other diseases such as Ebola and Zika. (Deloitte report)

By 2020, the top five cloud IaaS/PaaS providers will control 75% of the market,up from 50% in 2016. In fact by 2020, **over 80% of the G500 will be digital services suppliers through Industry Collaborative Cloud (ICC) platforms. (IDC)

Intel and supercomputer manufacturer Cray are set to unveil the world’s fastest supercomputer called Aurora in 2021, which is being built from bottom up to run AI applications at unprecedented scales. Currently, the fastest supercomputer in the world is Summit, which clocked a top speed of 143.5 petaflops in November 2018. However, Aurora is expected to clock a speed 7 times that when it comes online. (Intel)

DNA data storage technology has made major strides in the last decade. In 2012, researchers at Harvard encoded DNA with digital information that included multiple copies of HTML draft of a 53,400-word book, eleven JPG images and one JavaScript program. They were able to store up to 5.5 petabits of data in each cubic millimetre of DNA. In March 2017, Yaniv Erlich and Dina Zielinski of Columbia University and the New York Genome centre published a method known as DNA Fountain that stored data at a density of 215 petabytes per gram of DNA. (The Atlantic)

Worldwide spending on IoT is set to cross the $1.7 trillion mark by 2020. According to General Electrics, investments in the industrial IoT (IIoT) devices would hit $60 trillion over the span of next 15 years. (IDC)


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


© Copyright nasscom. All Rights Reserved.