Geetika Srivastava 
(Department of Physics and Electronic, Dr. RML Avadh University, Ayodhya, India)

Tremendous advancements in Artificial Intelligence and ever-evolving Neural Networks algorithms have opened the doors to unprecedented possibilities, revolutionizing industries and transforming the way we live, work, and interact with technology.
 
The small computing devices closer to the data source offer reduced latency, enabling real-time decision-making which is crucial for time-sensitive applications, where split-second reactions are vital. Neural Networks on such devices require careful optimization to ensure efficient operation within available limited resources. Simplifying the design and compressing models for apping while maintaining performance is a significant challenge in hardware implementation.
 
This talk will cover different dimensions of efficient hardware implementation of Neural Networks.