At this event held at Bharat Mandapam, the government, companies, and startups highlighted that AI is now opening up the ...
Abstract: This work presents a supervised machine-learning (ML) approach for blind digital calibration of SAR ADCs without requiring prior knowledge of errors. A 2-layer neural network learns the ...
Abstract: Ensuring both safety and fault tolerance in reinforcement learning (RL)-based control systems is critical for their deployment in aerospace systems. In this context, the aim of this work is ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...