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A2 · 414 words · English

Why Neural Networks Cannot Be Controlled

Lingard

Neural networks are incredibly powerful tools capable of solving complex problems, but they are also difficult to control. In this article, you'll explore why managing these networks is such a challenge. Neural networks, modeled after the human brain, learn from vast amounts of data and can make decisions independently—sometimes in ways that surprise their creators. While they offer incredible potential, such as identifying patterns or even discovering unexpected solutions, their unpredictability also poses risks. As these systems continue to evolve, the key lies in finding a balance between harnessing their power and maintaining control, ensuring they benefit society without causing unintended consequences.

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Words you’ll meet

The words readers of this text looked up most, each with its meaning and the line it comes from.

neural / ˈnʊrəl /noun

A computer program or system modeled on the human brain and nervous system

Neural networks are used in image recognition.

artificial intelligencemachine learningdeep learning

data / ˈdeɪtə /noun

Facts, statistics, or information used as a basis for reasoning, discussion, or calculation

process data

informationinputstatistics

decisions / dɪˈsɪʒənz /noun

The action or process of deciding something, especially with a group

The jury made their decisions.

judgementsresolutions

networks / ˈnɛtwɜrks /noun

a group or system of interconnected people or things

a network of roads

netweb

trained / treɪnd /verb

to teach a person or animal the skills or knowledge that they need for a particular job or activity

The dog was trained to sniff out drugs.

coacheducateinstructteach

learn / lɜːrn /verb

To gain knowledge of or skill in (something) through study, experience, or being taught

Neural networks learn by adjusting the weights of connections between neurons.

training

inspired / ɪnˈspaɪərd /verb

To provide with an idea or impulse

The artist was inspired by nature.

motivateinfluence

fully / ˈfʊli /adverb

to a complete degree or to the greatest extent possible

I don't fully understand the instructions.

completelytotallyentirely

understand / ˌʌndərˈstænd /verb

Comprehend the nature or meaning of something

I don't understand the instructions.

comprehendgraspfathom

abilities / əˈbɪlɪtiz /noun

natural or acquired power or skill

They will continue to learn from huge amounts of data and may develop abilities that we don't fully understand.

skilltalent

unpredictable / ˌʌnprɪˈdɪktəbl /adjective

not able to be predicted

networks can work in unpredictable ways

complexity / kəmˈplɛksɪti /noun

the state or quality of being intricate or complicated

the increasing complexity of neural networks

complicatedintricate

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