We organise many events and workshops throughout the year for spreading knowledge about Artificial Intelligence fields amongst people.
The
AI EXPO was the first expo of its kind in VIT, which was organized to
showcase the fields in which the AI Club is working and to showcase
the projects developed by the members of the club.
The
expo was aimed at spreading knowledge about fields such as Artificial
Intelligence, Machine Learning, Computer Vision and Advanced
Robotics.
The
AI EXPO was presided our Chief Guests Mr. Deobrat Singh, CEO and
Co-founder of GazeMetrix and Mr. Subhendu Panigrahi, CEO and
Co-founder of Venturesity who are experts in the field of technology
and entrepreneurship.
The Expo consisted of events like Face Recognition workshop, Game development using AI workshop, Tech talks, Hackathon, Project Demonstrations and Business plan competition.
This workshop given by us during fall semester 2013-14 was on “Introduction to High Performance Computing”. It was taken by Aayush Karwatkar, assisted by Vivek and Navneet. The Sole motive of the workshop was to convey the people that what is the meaning of the term “High Performance Computing” (hereafter, called HPC) and where it is used. Also we had the focus of telling people how we need and amalgamate HPC and AI to deliver maximum performance. The workshop started with telling how do the supercomputers operate and how do they incorporate HPC followed by parallel data processing or data processing over multi core architecture. Then we jumped onto the programming platforms used for HPC. A brief discussion was given on OpenMP and MPI. Message Passing Interface (MPI) is a standardized and portable message-passing system designed by a group of researchers from academia and industry to function on a wide variety of parallel computers. OpenMP (Open Multi-Processing) is an API that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran on most processor architectures and operating systems. It consists of a set of compiler directives, library routines, and environment variables that influence run-time behavior. Then we followed with the explanation of certain examples in Fortran using OpenMP. The time difference between serial and parallel execution was shown.
Data Science has recently come up as an highly important field in the industry. The demand for a Data Scientist is on the rise. The sudden rise in demand is due to the fact that mobile and internet users are producing million of bytes of data every day. This data can be exploited to understand the customers well. So there is a need to make sense of this highly unstructured data. This is commonly termed as “Big Data” In this session the student were introduced to the steps involved in the field of Data Science to make sense of the unstructured data. They were also shown the live demo of how to implement algorithms on Hadoop and Mapreduce
Machine Learning is an emergent field in the field of Artificial Intelligence. Machine Learning is the concept of making the machine learn a task by itself through it’s experience rather than explicitly programming it. Google Car(autonomous car) is one of the best application of Machine Learning. Student were introduced to Basic Concepts of Machine Learning in this. session.
Recommendation Engine is part of most of the sites and applications we see around like Youtube, Facebook, Saavn . This workshop was aimed at introducing students to the concept of recommendation Engine and giving a hands on session on implementation of User- User Collaborative Filtering.
This workshop was conducted aiming to build fundamental knowledge about algorithms techniques. It was an highly interactive session and Professors from eminent college like IIT, IMSc Bangalore and Microsoft Research were there for taking the workshop.