Emerging semiconductor nanoelectronics device based efficient hardware realization of the new neuron model.
Successful hardware demonstration of real-time spatio-temporal neuromorphic processing.
The research team comprised of Prof. Manan Suri and research scholars- Mr Ahmed Shaban and Mr Sai Sukruth Bezugam.
Speaking about the work, Prof. Suri (Principal Investigator) said, “In our research group at IIT Delhi, we extensively work on all aspects of semiconductor memory technology and its emerging applications with academic and industrial partners. Over the last few years, we have successfully demonstrated the utilization of memory technology beyond simple storage. We have efficiently utilized semiconductor memory for applications such as: in-memory-computing, neuromorphic-computing, edge-AI, sensing and hardware-security. This work, specifically exploits analog properties of nanoscale oxide-based memory devices for building adaptive spiking neurons.”
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3D Printed Robotic ‘Elephant Trunk’ is Guided by Machine Learning
Taking their inspiration from nature, researchers have designed a low-cost robotic arm that mimics the strength and flexibility of an elephant’s trunk.
Image Credit: Villiers Steyn/Shutterstock.com
In terms of design, the elephant s trunk is one of evolution’s foremost triumphs. The appendage an extension of the animal’s nose and its upper lip is both strong and flexible with a level of dexterity that is unmatched, even by our own arms.
In fact, containing an immense 40,000 muscles, an elephant’s trunk contains considerably more muscles than a human’s entire body.