Researchers from the University of Cambridge have reported a new kind of brain-inspired nanodevice, a hafnium-oxide memristor that could dramatically cut artificial intelligence’s (AI) energy use.
About Memristor:
Memristor’ is a combination of ‘memory’ and ‘resistor’.
It is an electronic component whose resistance depends on the history of current flow, allowing it to “remember” past electrical states.
A resistor is a small device that applies a fixed amount of resistance to a current passed through it.
Features of Memristor:
Unlike a resistor, a memristor has variable resistance and ‘remembers’ the resistance.
When the current is removed, the memristor ‘remembers’ the resistance it offered and maintains it.
Memristors are nanomaterial and don’t take up much space. Their energy demand is also very small.
They are usually made of a thin layer of titanium dioxide (TiO2) sandwiched between two metal electrodes.
Applications of Memristor
Memory Devices: Due to their ability to store previous resistive states, memristors are viable non-volatile random-access memories (NVRAM) for computers, industrial automation systems.
Integrated Circuits: Memristors have been identified as viable components for augmenting or potentially replacing transistors in integrated circuits (ICs).
Neuromorphic Computing: Researchers are exploring the viability of using memristors to build neuromorphic (brain-like) systems for artificial intelligence.
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