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  1. en.wikipedia.org › wiki › TSMCTSMC - Wikipedia

    Taiwan Semiconductor Manufacturing Company Limited ( TSMC; also known as Taiwan Semiconductor) [4] [5] is a Taiwanese multinational semiconductor contract manufacturing and design company.

  2. en.wikipedia.org › wiki › IPadiPad - Wikipedia

    e. The iPad is a brand of iOS and iPadOS -based tablet computers that are developed by Apple, first introduced on January 27, 2010. The iPad range consists of the original iPad lineup and the flagship products iPad Mini, iPad Air, and iPad Pro . The iPhone's iOS operating system (OS) was initially used for the iPad but in September 2019, its OS ...

  3. The Ryzen family is an x86-64 microprocessor family from AMD, based on the Zen microarchitecture. The Ryzen lineup includes Ryzen 3, Ryzen 5, Ryzen 7, Ryzen 9, and Ryzen Threadripper with up to 96 cores. All consumer desktop Ryzens (except PRO models) and all mobile processors with the HX suffix have an unlocked multiplier.

  4. This is a list of the tallest buildings. Tall buildings, such as skyscrapers, are intended here as enclosed structures with continuously occupiable floors and a height of at least 340 metres (1,120 ft). Such definition excludes non-building structures, such as towers . History.

  5. Amazon.com, Inc., [1] doing business as Amazon ( / ˈæməzɒn /, AM-ə-zon; UK also / ˈæməzən /, AM-ə-zən ), is an American multinational technology company, engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. [5] .

  6. In mathematics, the cross product or vector product (occasionally directed area product, to emphasize its geometric significance) is a binary operation on two vectors in a three-dimensional oriented Euclidean vector space (named here ), and is denoted by the symbol . Given two linearly independent vectors a and b, the cross product, a × b ...

  7. Definition. Consider a matrix A and a nonzero vector . If applying A to (denoted by ) simply scales by a factor of λ, where λ is a scalar, then is an eigenvector of A, and λ is the corresponding eigenvalue. This relationship can be expressed as: . [2]

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