Enhance Performance of Voice Assistants with Low Power
Highly Efficient Spintronics-Based Neuromorphic Hardware
Tags: IIT Delhi, India, Consumer Goods & Services, Energy & Environment
Researchers at IIT Delhi and IIT Bombay have developed highly efficient spintronics-based neuromorphic hardware. This device, made using an ultrathin layer of cobalt, functions like a synapse in the nervous system and can store data even when powered off. Applications include enhancing the performance and reliability of interactive voice assistants like Alexa and Siri by processing data locally, reducing power consumption, and preventing data loss. The innovation supports India's Semiconductor and Make-in-India missions. The findings are published in ACS Applied Electronic Materials.
IP Type or Form Factor: Device; Material
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Home Appliances & Consumer Electronics; Energy Efficiency
