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Friday, 20 November 2020 / Published in FAQ, Global Themes and Feature Topics

Walking Barcode in Covid Era

The interfaces are dissolving, and we’re finding new ways for technology to identify both us and features of our behavior. 5G’s impact will extend beyond faster data connection to enable new physical experiences, made possible by facial and body language recognition. This means we will soon become walking barcode in covid era and we need
Internet of things (IoT)walking barcodes
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E-SPIN
Monday, 16 November 2020 / Published in FAQ, Global Themes and Feature Topics

Understanding The Difference Between m-Learning and e-learning

Did you know that the “e” in e-learning means electronic? As such, e-learning is defined as any form of learning delivered to an electronic device such as a computer, via a channel like the Internet. The next development was mLearning. As for the “m” of m-learning, this stands for mobile. As such, m-learning encompasses all
e-learningmlearningMobile First
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E-SPIN
Friday, 13 November 2020 / Published in FAQ, Global Themes and Feature Topics

Walking barcode: The face into barcode

The latest advances in machine learning have created software that can determine the unique pattern of a person’s face from imagery or video to a far higher degree of accuracy than older technology. This makes it possible to track large numbers of people automatically as they move through public space, something that would be impossibly
walking barcodes
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E-SPIN
Monday, 09 November 2020 / Published in FAQ, Global Themes and Feature Topics

Walking barcode

Walking barcode is an interesting topic to discuss as not many people are in the know about this. With facial and body language recognition becoming widespread, we’re leaving a physical cookie trail as we move around our cities. Our bodies are becoming our signatures as our digital and physical selves merge. Our physical features become
walking barcode
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E-SPIN
Monday, 09 November 2020 / Published in FAQ, Global Themes and Feature Topics

The advantages of mobile learning

M-learning has many advantages that we do not realize. Smartphones, nowadays, everyone has one or at least wants one. People use their smartphones for entertainment, to connect with family and friends, to stay updated, for online shopping and many more. The number of smartphone users keeps increasing every day since the past few years, and
mlearningMobile Firstmobile learning
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E-SPIN
Tuesday, 03 November 2020 / Published in FAQ, Global Themes and Feature Topics

What is Mobile Learning

Mobile learning, also called M-learning or mLearning, is any type of content that is developed or consumed on mobile devices and apps used in the classroom, such as smartphones and tablets, and including anything from podcasts to full eLearning courses. It’s possible to learn whenever and wherever you want, as long as you have a
mlearningMobile Firstmobile learning
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E-SPIN
Monday, 02 November 2020 / Published in FAQ, Global Themes and Feature Topics

Is Self-supervised learning better than supervised learning?

In previous topics we had discuss the term of Self-supervised learning. In general Self-supervised learning is for training computers to do tasks without humans providing labeled data. Is Self-supervised learning is better than supervised learning? Supervised learning requires labelled data. That data is typically labelled by a domain expert, i.e. someone who is expert at
self-supervised learning
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E-SPIN
Thursday, 29 October 2020 / Published in FAQ, Global Themes and Feature Topics

Passport Health: Travel Vaccines for Malaysia

Let’s pick a country to be specific, for easy in specific illustration. Be note it can be universally applicable to other countries as well. Malaysia has a high amount of biodiversity thanks to its tropical climate and a large population of over 30 million people. Malaysia has high temperatures and humidity, heavy rainfall, and a
E-HealthHealth Passport
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E-SPIN
Wednesday, 28 October 2020 / Published in FAQ, Global Themes and Feature Topics

A self-supervised learning system for pattern recognition by sensory integration

The self-supervised learning has been widely used to refer to techniques that do not use human-annotated datasets to learn (visual) representations of the data (i.e. representation learning). Today we will discuss about a self-supervised learning system for pattern recognition by sensory integration. Artificial neural networks are useful tools for pattern recognition because they realize nonlinear
self-supervised learning
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E-SPIN
Tuesday, 27 October 2020 / Published in FAQ, Global Themes and Feature Topics

Will Putting Users in Control of BYOI Solve our Privacy Problem?

Will putting users in control of BYOI solve our privacy problem or BYOi privacy?. Let’s start from something everyone is familiar with, since it happens from time to time in the local news headline.  A recent US journal report about 12 millions people’s location information being leaked, brings the headline for consumers to large privacy
Bring Your Own Identity (BYOI)
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