Where will the curve take you? Meaning, origin, examples of the use of phraseological units

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Winged words, phraseologism. Meaning, history of origin, examples of use

Winged words, phraseological units

Directory / Winged words, phraseological units

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Where the curve will take

Proverbs and sayings

Phraseologism: Where the curve will take.

Meaning: Let it be as it turns out, as it happens, come what may (simply ironic).

Origin: The full form of the expression is "where the crooked horse will take you", where "crooked" means "lame". Riding such a horse is a risky business: it may or may not take you to your destination.

Random phraseology:

The Unbearable Lightness of Being.

Meaning:

About one's own contentment, satisfaction, etc., or ironically about a complex, confusing situation.

Origin:

The title of a novel (1984) by the Czech writer Milan Kundera (b. 1929) about the fate of people involved in the tragic events of the "Prague Spring" of 1968.

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Random news from the Archive

A method for spontaneous learning of memristor neural networks has been developed 24.03.2021

A new technology that can improve the learnability of artificial neural networks has been unveiled by an international team of researchers affiliated with the Ulsan National Institute of Science and Technology (UNIST) and Tsinghua University in China.

The proposed method exploits the "resistance drift" (rise in electrical resistance) of a phase change material in semiconductor memory during training. Information updates are recorded by increasing the electrical resistance in the memristor, which acts as a synapse and additionally takes into account the relationship between the changing template and the training data.

The effectiveness of this method was demonstrated using experimental phase change memristor (PCM) arrays that worked as a neural network. In tests to classify handwritten text consisting of numbers from 0 to 9, such devices showed the effect of improving learning ability by about 3%. In particular, the recognition accuracy of the number 8, which is traditionally difficult to classify in handwritten form, has significantly increased. The learning ability has improved due to the synapse update pattern, which changes depending on the complexity of the classification.

An important advantage of the new method is that the learnability can be improved without additional energy costs, since the resistance of the PCM increases spontaneously due to structural relaxation after the transition to the amorphous phase.

The researchers expect that their results will contribute to the development of learning algorithms that use the properties of memristor devices and open up a new direction in the development of neuromorphic computing chips.

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