MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202631010867 A) filed by C. V. Raman Global University, Bhubaneswar, Orissa, on Feb. 2, for 'ai enabled voice assistance based future generation library management system.'
Inventor(s) include Aqudas Shahzad; Dr. Ram Chandra Barik; Dr. Monalisa Mishra; Dr. Madhusmita Sahu; Dr. Mamtarani Das; and Prof. Sukant Kishoro Bisoy.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a novel flexible ferroelectric-coupled transistor (FeFET) based retinomorphic device designed for artificial intelligence optoelectronic applications. Specifically, the invention comprises an integrated optoelectronic system combining light-sensing capabilities, memory storage, and neuromorphic computing functionalities within a single flexible field-effect transistor device. The device integrates an optically active organic semiconductor layer (DNTT) with a ferroelectric polymer dielectric layer (P(VDF-TrFE)) and metal contacts, enabling simultaneous visual perception and information processing. The fabricated FeFET device operates at reduced voltage levels and demonstrates multi-level analog weight storage capability, making it suitable for neuromorphic computing applications such as pattern recognition and feature detection. A 5 5 crossbar array architecture of FeFET synaptic devices is implemented as a singlelayer perceptron neural network to emulate biological visual perception processes including retinal signal reception, optical nerve transmission, and cortical signal processing with memorization. The invention addresses the limitations of conventional separated sensor, memory, and processing unit architectures by providing an integrated in-memory sensing and computing platform. The solution significantly reduces circuit complexity, processing latency, power consumption, and thermal challenges while enabling flexible device implementation. The fabrication methodology utilizes solution-processable materials and thermally grown dielectric layers, offering economical production with ease of fabrication. The invention finds applications in IoT devices, artificial intelligence systems, edge computing platforms, and neuromorphic computing architectures requiring efficient visual perception and processing capabilities."
Disclaimer: Curated by HT Syndication.
