Working and Analogy of Memristors
Often likened to an imaginary water pipe, a memristor behaves much like the pipe’s diameter expanding for faster water flow in one direction and contracting for slower flow in the opposite direction. Analogously, when a memristor’s power is turned off, it retains its resistance value, similar to the pipe retaining its diameter when the water is shut off. This unique trait ensures that, in the event of a computer experiencing a hard shut down, applications and documents open prior to the shut down remain on the screen upon restarting.
As a subset of resistive RAM, memristors are positioned as potential successors to flash memory. Introduced by HP Labs in 2008, memristors have since captivated researchers across major IT companies, exploring their applications in crafting smaller, faster, and low-power computers. The key goal is to eliminate the need for data transfer between volatile and non-volatile memory. Flattening the storage hierarchy by replacing DRAM and hard drives with memristors opens the door to the theoretical possibility of analog computers executing calculations on the same chips that store data.
What is Memristor in Machine Learning?
In the dynamic landscape of machine learning, recent strides have been propelled by cutting-edge technologies and algorithms. Standing out among these transformative innovations are memristors, poised as a game-changer with the potential to reshape how data is stored, processed, and manipulated in machine machine-learning systems with low power consumption and less chip area. Day by day machine learning algorithms including DL and NLP are gaining importance in object detection and pattern recognition, a large amount of data is essential to drive the model with less power and consumption which can be solved by using Memristors and their devices.
In this blog we will embark on a journey into the captivating realm of memristors, unraveling their distinctive attributes, applications in machine learning, and the exhilarating possibilities they hold for the future of this swiftly evolving domain.
Table of Content
- What are Memristors in Machine Learning?
- Working and Analogy of Memristors
- Memristors and Neuromorphic Computing
- Advantages of Memristors
- Applications of Memristors in Machine Learning:
- Future of Memristor in Machine Learning
- Challenges of Memristor in Machine Learning
- Conclusions