Machine learning unveils the ideal structure of a quantum memristor, which could one day surpass current computing systems.
New memristor design could be a game-changer for AI and big data
Computers based on memristors promise significant energy savings and improved accuracy in large-scale computing.
Artificial neural networks made from memristors for brain-inspired computing
Artificial neural networks made from domain walls mimic synapses and neurons in the brain for neuromorphic computers.
Boosting data security with a memristor-based true random number generator
A new true random number generator offers better encryption by taking advantage of a flaw in memristor memory devices.
On the implications of overlooking measurement effects in memristors
The importance of understanding the experimental process is ubiquitous in research. And while we have a huge range of techniques at our disposal, we should be aware of and properly consider their limitations, so that we may present reliable methods and conclusions to...
Memristors to construct human-like memory
How do we reproduce the memory and processing capabilities of the human brain?
Could twisted bismuth pave the way to a practical superconductor?
“Magic angles” in twisted bismuth bilayers could induce superconductivity at more reasonable temperatures.
This mathematical tool could improve how fast information is shared
Researchers develop “relative attention entropy” to optimize data transmission, aiding AI learning and communication systems.
A quantum take on oblivious transfer unlocks ultra-secure communication
In addition to ensuring the secure transfer of quantum communications, researchers have come up with a way to safely store and process data.
What are neuromorphic computers?
To make computers faster and more efficient, scientists are using the brain as a model in this blossoming area of computer science.