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2. Gigatron TTL - Wikipedia

   en.wikipedia.org/wiki/Gigatron_TTL

   The Gigatron TTL is a retro-style 8-bit computer, where the CPU is implemented by a set of TTL chips instead of a single microprocessor, imitating the hardware present in early arcades. Its target is the computing enthusiasts, for studying or hobby purposes. [2] Assembled Gigatron kit computer in display case.

3. Zenbook - Wikipedia

   en.wikipedia.org/wiki/ZenBook

   Asus Zenbook is a line of notebook computers produced by Asus.The first Zenbooks were released in October 2011 as Ultrabooks, and the original range of products has since been expanded to models ranging from smaller and power efficient notebooks to high-end and larger laptops with additions like discrete graphics processing units.

4. Asus - Wikipedia

   en.wikipedia.org/wiki/ASUS

   ASUS Republic of Gamers logo An ASUS promotional model presenting ROG products. ASUS Republic of Gamers (ASUS ROG) is a brand used by ASUS since 2006, encompassing a range of computer hardware, personal computers, peripherals, and accessories. AMD graphics cards were marketed under the Arez brand due to the Nvidia's GeForce Partner Program. [56]

5. Acer Aspire - Wikipedia

   en.wikipedia.org/wiki/Acer_Aspire

   Acer Aspire Switch 10 was announced in April 2014. It is a 10.1-inch two-in-one, with a 1366 × 768 resolution display and Intel Atom Z3745 processor. A second-generation Acer Aspire Switch 10 was then launched in October 2014 It was given a different display resolution of 1280 × 800, and a different Intel Atom Z3735F processor.

6. Apple A14 - Wikipedia

   en.wikipedia.org/wiki/Apple_A14

   The Apple A14 Bionic is a 64-bit ARMv8.4-A [6] system on a chip (SoC)designed by Apple Inc., part of the Apple silicon series. It appears in the iPad Air (4th generation) and iPad (10th generation) , as well as iPhone 12 Mini , iPhone 12 , iPhone 12 Pro , and iPhone 12 Pro Max .

7. Apple A15 - Wikipedia

   en.wikipedia.org/wiki/Apple_A15

   The A15 contains 15 billion transistors, a 27.1% increase from the A14's transistor count of 11.8 billion. It includes dedicated neural network hardware that Apple calls a new 16-core Neural Engine. [10] The Neural Engine can perform 15.8 trillion operations per second, faster than A14's 11 trillion operations per second (+ 43%). [10]