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.

Value added Course on Statistics for Data Science using R
Two-Day Workshop on ReVITalization: Industry, Technology & Skills for Sustainable Cooling & Heating
Research Workshop Strategies for Successful Research Publication: From Manuscript to Acceptance
Two-Day National Workshop On Advanced Manufacturing & Materials: From Processing to Performance Evaluation

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