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.

International Seminar – Digital Dreamscapes: Youth Navigating AI, Creativity & Virtual Expression
Digital Twin and Artificial Intelligence in Industry 5.0
GREEN BUILD LEADERSHIP EDP 2026
VALUE ADDED COURSE Implementation of ML Algorithms with FPGA – VAC2515

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