News and Events

AI Drive 2K22

Date:15th October 2022 and 22nd October 2022

The students of Semester 3 along with Prof Roshni conducted an AI Drive which focused on creating an awareness in the budding youth about the pros and cons of AI and ML.

• The drive was held in two sessions in St Francis School focusing 10,11th and 12th students on 10th of October 2022 and other session in Dayananda Sagar ICSE School focusing 10th students on 22nd of October 2022.
• The sessions were handled by the students of 3rd Semester AIML. The session was interactive and our students got very good feedback from both the schools

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Visit to Continental

Date: 18th October 2022

The students of Semester 5 AIML visited Continental AG, a German multinational company automotive parts manufacturing company specializing in brake systems, interior electronics, automotive safety, powertrain and chassis components, tachographs, tires and other parts for the automotive and transportation industries.
The objective of the visit was to understand how Artificial Intelligence and computer vision is being leveraged to the automotive section. The first part of the visit began with Mr. Vishal Muralidharan giving an overview of Continental, their plans for collaboration with universities, and their plans for expansion. He also explained how they are using artificial intelligence in projects like self-driving cars. There was also a brief discussion on the various object detection algorithms used in the industry. The visit was concluded with a presentation on machine learning and their applications in the automotive industry. The team members demonstrated how they use machine learning to detect anomalies in the braking system, and how they use machine learning to detect the quality of the brake pads.

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CodefAI

Date: 18th October 2022

AI Works @ DSU – the students’ technical club of AIML DSU conducted a Machine Learning Competition on November 22nd, 2022. The competition was open to all 3rd Year students of the University. A total of 7 teams participated in the competition. The competition was conducted in one phase. The first phase was a preliminary round, where the participants were given a spam filter dataset and asked to perform dimensionality reduction with any algorithm that they seem fit. The participants were allowed to use any model they wished to, and were requested to evaluate the results using sklearn’s classification report, and then they were judged based on the accuracy of their model(s).Year students of the University. A total of 7 teams participated in the competition.

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