Page 261 - AWSAR 2.0

Teaching the Machines: An Art of Learning from just a few Samples
|| 237
Ms. Suvarna Kadam*
Email: suvarna.kadam@gmail.com
SWhy does my research matter?
oftware systems are already being used in India in mainstream applications in private as well as public sectors.
The government is moving to e-governance with many governmental functions getting digitized. Further, these software systems are getting augmented with artificial intelligence. This means that the systems not only automate the previous manual systems but are also capable of learning much; similar to humans. For example, bus reservations were a manual system that was computerized. When the system makes use of data it has captured (how many people have made reservations, what routes, which time of the year) to learn when people travel most, the system becomes a learning system. We now see many learning
systems such as security systems based on face and biometrics recognition, traffic control systems, weather predictions that benefit tremendously because they are capable of learning from the data. Machine learning is slowly becoming the backbone of all software systems as we always want machines to be smart and learning rather than dumb and capable of doing only limited tasks they were programmed for. Machine Learning Research, therefore, matters a lot because now a breakthrough in ML can have high impact and greater implications on everyone as every individual of the general public will be directly or indirectly be using ML augmented software systems. For example, when you are driving into a new city, the map navigation system on your phone uses machine learning.
* Ms. Suvarna Kadam, PhD Scholar from Savitribai Phule Pune University, Maharashtra, is pursuing her research on “Learning from few Samples: A Generative Approach”. Her popular science story entitled “Teaching the Machines: An Art of Learning from just a few Samples” has been selected for AWSAR Award.