Students Unveil Memristor-Based Synaptic Array Tech For Artificial Brain Engg

Rushikesh and Sanketvardhan, students of DY Patil International University (DYPIU) Akurdi, Pune, have designed a cutting-edge "Memristor-Based Nano-Finger Array," a device poised to transform AI and machine learning (AI/ML) computations

Mumbai: In a remarkable display of innovation, Rushikesh and Sanketvardhan, students of DY Patil International University (DYPIU) Akurdi, Pune, have designed a cutting-edge "Memristor-Based Nano-Finger Array," a device poised to transform AI and machine learning (AI/ML) computa-tions. The project, conducted in collaboration with Inje University, South Korea and under the expert guidance of Dr Shubhro Chakrabartty, a DYPIU faculty and Prof Hanjung Song, a faculty at Inje University, South Korea leverages memristor-based technology to create a synaptic array that promises faster processing speeds and higher computational capacity.

The device was presented at the prestigious International Conference on Advances in Communication, Medical Electronics, and Smart Grid Automation (ACMESGA 2K24) in Kalyani, Kolkata, where it received acclaim for its potential to revolutionize current technological paradigms. Talking to Bizz Buzz, Dr Shubhro Chakrabartty, Professor, DY Patil International University, Akurdi, Pune says, "This innovation is a testament to the dedication and ingenuity of our students. The memristor-based nano-finger array is not just a technological breakthrough but a step forward in realising AI systems that emulate the efficiency and complexity of the human brain."

This collaboration between DY Patil International University and Inje University underscores their shared commitment to advancing technological research and innovation.

Prof Hanjung Song, Professor and CEO, Inje University, South Korea. "Our collaboration has highlighted the power of interdisciplinary and international research. The success of this project exemplifies how cutting-edge technology, when nurtured with global expertise, can redefine the future of artificial intelligence and machine learning."

The successful demonstration of the memristor-based technology marks a significant milestone in the pursuit of more efficient, scalable AI/ML systems, with far-reaching implications for industries ranging from healthcare to automation.