Events

VALUE ADDED COURSE Implementation of ML Algorithms with FPGA – VAC2515
07-02-2026

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04-04-2026

The value-added course, “Implementation of Machine Learning Algorithms with FPGA,” aims to familiarize students with ML models for edge computing, the need for hardware acceleration, and the practical implementation of ML, NN, and DNN algorithms on FPGA platforms. The course includes hands-on sessions with FPGA design tools, HLS-based acceleration, optimization techniques such as quantization and pruning, and deployment workflows for real-time ML applications.

One-Day Workshop on Modern Scientific Writing: Ethical AI Integration, Advanced Tools, and High-Impact Publication Strategies
Hands on Workshop AIoT Technologies for Climate Resilience
One Day Workshop on Design and Development of Systems using Generative AI and Large Language Models
SENSE-A-THON ‘26

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Undergraduate NRI / Foreign Admission

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Postgraduate NRI / Foreign Admission

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