EVENT TITLE: An Invited Talk on “ Statistics for Artificial Intelligence”
DATE: 22-01-2025
TIME: 09.45 A.M to 11.15 A.M
VENUE: Gallery Hall – 3
CONVENERS
Dr. N. Ramalingam, Assistant Professor
Dr. L. Panneerselvam, Assistant Professor
NO OF PARTICIPANTS: 140
RESOURCE PERSON DETAILS
Dr. B. Balamurugan M.Sc., M.Phil., PhD.
Professor & Head,
Department of Mathematics,
Velammal Institute of Technology,
Panchetty, Chennai
Welcome Address
The event began with a warm welcome by Dr.T. Harikrishnan, Head of the Department (i/c) of Mathematics. He greeted the gathering with positive words and provided an insightful introduction to the significance of the session. His brief overview set the tone for the event, emphasizing the importance of mathematics and statistics in Artificial Intelligence (AI).
Introduction of the Chief Guest:
Dr. N. Ramalingam, Assistant Professor, Department of Mathematics, took the stage to introduce the chief guest, Dr. B. Balamurugan, Professor & Head, Department of Mathematics at Velammal Institute of Technology, Panchetty, Chennai. He highlighted Dr. B. Balamurugan’s distinguished career, which spans over 32 years of teaching experience, and his remarkable contributions to the field of Queueing Theory.
Keynote Address:
The invited speaker, Dr. B. Balamurugan, delivered an enriching keynote address on the topic “Statistics for Artificial Intelligence.” Throughout the session, Dr. Balamurugan captivated the audience with his deep understanding of how mathematical concepts, specifically statistics, are pivotal in the development and application of AI systems. Here are some key points from his address:
Real-Life Applications of Matrices: Dr. Balamurugan explained how matrices are integral to solving real-world problems, particularly in fields like machine learning and data science. He gave examples where matrix operations are applied to transform data and optimize algorithms.
Mathematical Concepts in Problem Solving: He emphasized how mathematical concepts can be used to solve complex problems in various industries, including healthcare, finance, and technology. AI, he stated, is increasingly reliant on mathematical models to make sense of large datasets and inform decisions.
Advancements in Mathematical Problem Solving: The speaker also highlighted the significant progress in mathematical theories that contribute to AI’s ability to process and analyze data more efficiently. This progress has opened new doors for AI to solve previously unsolvable problems.
Challenges of AI in Day-to-Day Life: Dr. Balamurugan discussed the challenges faced by AI systems when applied in everyday life, such as bias, data quality, and the complexities of human behavior. He stressed the need for statistical analysis to address these issues and improve AI performance.
Success Stories in Statistics: The keynote speaker shared a few success stories where the application of statistics has led to remarkable advancements in AI technologies. These examples demonstrated the impact of statistical methods in various AI-driven systems, from predictive modeling to autonomous decision-making.
Technical Terms in AI Statistics: To wrap up the session, Dr. B. Balamurugan introduced technical terms related to statistics in AI, offering students a glimpse into the more specialized concepts that drive AI research and development.
Vote of Thanks:
The session concluded with a vote of thanks proposed by Dr. L. Panneerselvam, Assistant Professor in the Department of Mathematics. He expressed his gratitude to Dr. B. Balamurugan for sharing his expertise and insights. Dr. L. Panneerselvam also thanked the participants for their active involvement and the faculty members for their support to organize the event successfully.
Conclusion:
The invited talk on “Statistics for Artificial Intelligence” was a highly informative and engaging session for the students of BCA(DS) and BCA(Gen-AI). The talk not only enhanced their understanding of the crucial role of statistics in AI but also inspired them to explore the practical applications of Mathematical concepts in the rapidly evolving field of Artificial Intelligence.
