New Device Could Greatly Improve Speech and Image Recognition
jan_jes writes: Scientists have successfully demonstrated pattern recognition using a magnonic holographic memory device, a development that could greatly improve speech and image recognition hardware. The researchers built a prototype eight-terminal device consisting of a magnetic matrix with micro-antennas to excite and detect the spin waves. The micro-antennas allow the researchers to generate and recognize any input phase pattern, a big advantage over existing practices. It takes about 100 nanoseconds for recognition, which is the time required for spin waves to propagate and to create the interference pattern. The main challenge associated with magnonic holographic memory is the scaling of the operational wavelength, which requires the development of sub-micrometer scale elements for spin wave generation and detection.
Could someone please explain this with a car analogy?
It seems like the kind of thing a random science-word generator would produce.
Don't worry, scientists are working on a device that can recognize them.
How can I believe you when you tell me what I don't want to hear?
...for this year's "Science or Star Trek Technobabble?" championship!
After reading that summary I feel like a juggalo. "...F*cking magnonics, how do they work?.."
Proverbs 21:19
Nope, stupid human can't type ... magnonic is apparently a real thing.
Lost at C:>. Found at C.
Looked at that page, which lead me to the SpinWaves page, which had the text: "The simplest way of understanding spin waves is to consider the Hamiltonian {H} for the Heisenberg ferromagnet:" at which point my head exploded and I went back to watching Star Trek reruns. At least there the technobabble make sense...
So, it's an analog computer.
If I could explain it in 30 seconds, it wouldn't be worth a Nobel Prize.
-- Richard Feynman, responding to a reporter's question, after he won the Nobel Prize
Simplicity is good, but not always attainable.
If it weren't for deadlines, nothing would be late.
From what i can quickly gather from the article:
This is all based on magnonics, which in short - is the use of magnetic spin for binary storage and or logic. This device focuses on the later...
It does this by constructing a matrix of magnetic nodes that are effectively interconnected to neighbours (moor?) via spatial magnetic-spin sensitivity, these interconnects form the dynamic logic processing ability of the matrix.
I think that this is somewhat like a (soft) convolutional artificial neural network for image recognition, these are constructed out of a 2d or 3d matrix of nodes with weighted interconnects in a moor-neighbourhood arrangement. The difference here i guess is that a) it's done with magnetic spin (i really have no idea why this is an advantage, maybe i'm all wrong about this) and b) being an application specific piece of hardware each node works in parallel (this is trumped as the primary reason for the speed potential in the article).
... Big disclaimer: I am massively speculating because the use case is not made super clear.