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Faculty Development ProgramsTEDxBiomedical EngineeringPast event Registration closed

Mathematical Foundations for AI-Driven Engineering Applications 2026

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Date29 Jun 202612:00 AM IST
LocationBengaluruOffline
EntryPaidExternal registration
BIOMEDICAL ENGINEERING
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About the event

Artificial Intelligence is transforming modern engineering by enabling intelligent systems that can learn, adapt, and make data-driven decisions. However, the success of AI technologies is deeply rooted in strong mathematical principles. This session explores the essential mathematical foundations that power AI-driven engineering solutions, including linear algebra, calculus, probability and statistics, optimization techniques, differential equations, and numerical methods.

Participants will gain insights into how these mathematical concepts are applied in machine learning, deep learning, signal processing, control systems, power systems, robotics, communication networks, and other engineering domains. The program emphasizes the connection between theoretical mathematics and practical AI applications, helping engineers develop a deeper understanding of model development, training algorithms, data analysis, and intelligent decision-making systems.

Events & highlights

Artificial Intelligence is transforming modern engineering by enabling intelligent systems that can learn, adapt, and make data-driven decisions. However, the success of AI technologies is deeply rooted in strong mathematical principles. This session explores the essential mathematical foundations that power AI-driven engineering solutions, including linear algebra, calculus, probability and statistics, optimization techniques, differential equations, and numerical methods.

Participants will gain insights into how these mathematical concepts are applied in machine learning, deep learning, signal processing, control systems, power systems, robotics, communication networks, and other engineering domains. The program emphasizes the connection between theoretical mathematics and practical AI applications, helping engineers develop a deeper understanding of model development, training algorithms, data analysis, and intelligent decision-making systems.

Meet the organizer

Explore New Horizon College of Engineering ↗

Event type details

Faculty Development Program

Registration deadline / Important dates

Nil

Registration Fees

500

How to Reach

https://newhorizoncollegeofengineering.in/

Accommodation Details

Nil

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