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.

National Workshop on QUANTUM MACHINE LEARNING
Five Days Workshop On Device to Silicon : TCAD & RTL to GDS II Hands On
10th Annual Conference of the Society of Inflammation Research SIRCON 2026
37th AGM of MRSI & 8th Indian Materials Conclave MRSI-2026

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