transduction

SFKs play a huge role in many different signal transduction pathways and therefore in many different diseases.

Name the final edge in the transduction graph of a proliferation, apoptosis, or cell cycle regulation pathway.

This, it's a transduction problem (it's difficult to sense and even more difficult to output), not a representation problem.

For example, Alex Graves' work on sequence transduction with RNNs eventually led to the direct precursor of modern attention.

When photons hit the retina, the same kind of photochemical transduction happens — but the signal does not stop at measurement.

How they acquire those characteristics is largely immaterial, be it through random mutation, sexual reproduction, viral transduction, etc.

Once these companies start introducing solid-state devices though, things will begin to get very interesting as alternative signal transduction mechanisms come into play.

Hearing damage caused by high intensity sound is the result of mechanical transduction of sound waves to hair cells in your inner ear.

I also argued that using Either is a perfectly natural way to implement early termination in such a transduction pipeline.

Put two nerves of the same type right up next to each other and they will fuse and form a continuous signal transduction pathway.

These findings establish that mechanical oscillators can act as quantum memories for superconducting devices, with potential future applications in quantum computing, sensing and transduction.

Photic regulation of melatonin in humans: ocular and neural signal transduction.

From what I've seen Transducers tend to use Clojure's ambient state mechanics to get local state to each "transduction step".

I completely agree that using an Either to implement early stopping (as it's easy, if finicky for the library implementor, to do) will involve wrapping and unwrapping the "state" of the transduction continuously.

(I'm talking about amplification and transduction here.) What "progress" we've made in the meantime that hasn't had to do with new formats (both in the sense of media/input format and output format) has had mostly to do with making sound amplification and transduction more convenient.

Internal states stored local to a transduction "step" might be valuably treated as Rich suggests, but this is exactly what the Moore machine handles—the constructor can pick the state and the user can only pass it forward with some new variable each time they "open" the state.

Transduction is a more specific case of semi-supervised learning where you know the test set, i.e.