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Vol. 4, Issue 30, December 2018

Article 1

Machine Learning in Medical Applications

Machine Learning as we know is an area of artificial intelligence that provides machines an ability to predict the accurate outcome without being explicitly programmed for the same. Such a system learns from previous data and experiences to accurately predict the outcome. All the fancy technology applications of modern day including self-driving cars, speech recognition, web search, improved understanding of the human genome etc are based on machine learning. Machine learning is so ubiquitous today that we sometime don’t even realize that we are using machine learning application. Like for example most of the search engines on which we surf internet use machine learning!..


Ms. Vaishali Gupta

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Article 2

Artificial Intelligence Chatbots

A Chabot has been introduced that can reduce the work of over burdened doctors and provides curative guidance to patients. Moreover, paperwork can also be handled by these kinds of apps. Patients do not have to wait for an appointment with doctor, rather they can chat with the app for non urgent consultations.
The app is based on Artificial Intelligence techniques. Users can depict their symptoms casually with help of natural language processing. Expert Systems are used to mine voluminous medical databases. Patients' symptoms and conditions can be correlated with various machine learning techniques...


By: Ms. Nandini Nayar

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Previous Issue

Issue 29


  1. Article 1: From CPUs to GPUs to TPUs
  2. Article 2: IOT Connectivity with Cloud Services

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About Technology Connect
Aim of Technology Connect is to share with students & faculty the latest developments, technologies & updates in almost all fields of engineering and thereby promoting knowledge sharing. We started in 2015 and currently Volume 4 is in publication. Over 100 articles were published in Vol. 1, 2 & 3 combined. Earlier the frequency of publication was weekly but starting from June 2018 we have decided to publish it fortnightly. All our readers are welcome to contribute articles to Technology Connect. Just drop an email to the editor.

Editorial Team
Editor: Mr. Sagar Juneja, Associate Professor, ECE, Chitkara University, H.P.
Consulting Editor: Dr. Rajnish Sharma, Dean (Research), CURIN, Chitkara University, India
Designer: Mr. Arun Goyal, Student, CSE, Chitkara University, H.P.