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.

VIT MATHEMATICS SUMMER PROGRAMME 2026 (VMS-2026) on Understanding Mathematics behind Artificial Intelligence
Hands-on Training in Advanced Liquid Chromatography for Proteomics Applications
One Day Workshop on Computational Foundations: Finite Element Methods and Machine Learning for PDEs
One-day Online workshop on Data Chaos to Trusted and Secure Intelligent Systems: Building High-Quality Data, Reliable Models and Defensive Strategies

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Undergraduate NRI / Foreign Admission

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Postgraduate NRI / Foreign Admission

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