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Blockchain for dummies

Blockchain technology is nothing but a consensus mechanism for conducting transactions without any “middleman” persona (organization or people) of authority we can trust. Let me explain with an example: How about creating a shared address book of your globally spread out family members? Let us assume nobody stepped up to manage the address book, to make sure…
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How blockchain will fundamentally change our lives in future

The use of the internet has undergone rapid evolution in a matter of a few decades. In the 1990s, the internet was described as “a wide-area hypermedia information retrieval initiative aiming to give universal access to a large universe of documents” or simply put, ‘The Internet of Information’ which was primarily used to access data…
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Interpreting sign language with computer vision and deep learning

Sign language, the art of communicating with the real world with signs and expressions is majorly used by people with hearing and speaking disability. For a conversation to happen with this language, understanding the signs is as important as conveying the message. Does that mean everyone must know this language to communicate with people with…
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Using Computer Vision to Calculate our Oil Surplus …from Space

Getting insight from pixels is the core idea behind Computer Vision technologies. Computer vision is an interdisciplinary scientific field that is concerned with teaching computers how to make sense of digital imagery. Computer Vision techniques have shown a lot of promise in multiple fields like healthcare, autonomous driving, retail, Face detection and even manufacturing and…
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An Eye for Self-Driving Cars

Computer Vision: field of Computer Science to enable computers to see, has numerous applications.  One of the greatest applications is making Self-Driving Cars a reality. I consider it as one of the great applications of Computer Vision because as per research driverless cars are poised to save 10 million lives per decade – and 50…
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Full-motion video use case for semiautonomous driving

Companies in the security, consumer, retail, telecom, security, and autonomous driving industries are most likely to benefit from automating the extraction, analysis, and understanding of key information from frame-by-frame video images. For example, AI in semi-autonomous driving cars can track potentially dangerous objects to alert the driver to danger. Split-second detection is critical to safety…
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Predictive Analytics application in steel manufacturing

Data is a valuable asset for any manufacturing industries in the current time, only if they know how to extract hidden value from it. Data mining and Predictive analytics are the great tools that help to optimize the process operations, minimize the operational cost, reduce rejection or rework, and increase profits. Data mining applies machine…
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State-of-charge estimation of Li-ion batteries using Deep Neural Networks: A machine learning approach

Lithium-ion batteries have many advantages when compared to other batteries such as high cycle life and low self-discharge, due to which they are heavily used in portable electronics, Electric Vehicles (EV), smart-grid technology and unmanned aerial vehicles. EV powered by Lithium-ion batteries are particularly advantageous to mitigate air pollution created by petrol and diesel powered…
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Predicting the auction for real estate in NZ

I found interesting to see the data available about the auctions happened in and around NZ on different real estate properties: https://www.interest.co.nz/property/residential-auction-results?region=Canterbury&district=Christchurch%20City&area=-&agency=-&status=- The data can be collected using web scrapper and can diagnose through regression analysis to model and predict the future auction amount. The factor are the area, no. of rooms, no. of toilets,…
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What’s left unsaid… gets predicted eventually !

We are living in a digital era where half of the population is carrying either of smart-phones, laptops etc. We can’t deny the fact that these electronic devices are getting more intelligent day by day. But the question which still daunts us is that how are they getting intelligent? So what do I mean by…
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