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.

Two days workshop on RNA SEQUENCING (RNA-seq) and Data Analysis
ACM India – VIT Summer SchoolonSystems for ML
Value Added Course on Digital Twin for Automotive Applications
VIT Physics Summer Camp 2026

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