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.

Cyber Forensics for VIT 36 Hours Hackathon
One day International Workshop on the Art of Manuscript Writing and Successful Publication
Industry- Academia Conclave on “Bridging Innovation: Shaping Tomorrow’s Technology”
Value-Added Course on VLSI Design using CADENCE Tools (VAC 1555)

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