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  2. AI accelerator - Wikipedia

    en.wikipedia.org/wiki/AI_accelerator

    An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.

  3. Zen 4 - Wikipedia

    en.wikipedia.org/wiki/Zen_4

    It features a 60% faster NPU compared to the 7040 series. [45] Key features of Ryzen 8040 notebook APUs: Socket: BGA (FP7, FP7r2 or FP8 type packages). All models support DDR5-5600 or LPDDR5X-7500 in 128-bit "dual-channel" mode. CPU uses Zen4 cores (Phoenix) or a combination of Zen4 and Zen4c cores (Phoenix2). GPU uses the RDNA 3 (Navi 3 ...

  4. Qualcomm Hexagon - Wikipedia

    en.wikipedia.org/wiki/Qualcomm_Hexagon

    Qualcomm announced Hexagon Vector Extensions (HVX). HVX is designed to allow significant compute workloads for advanced imaging and computer vision to be processed on the DSP instead of the CPU. [19] In March 2015 Qualcomm announced their Snapdragon Neural Processing Engine SDK which allow AI acceleration using the CPU, GPU and Hexagon DSP. [20]

  5. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    The first-generation TPU is an 8-bit matrix multiplication engine, driven with CISC instructions by the host processor across a PCIe 3.0 bus. It is manufactured on a 28 nm process with a die size ≤ 331 mm 2. The clock speed is 700 MHz and it has a thermal design power of 28–40 W.

  6. The Best Gaming Mouse for Precise Control

    www.aol.com/lifestyle/best-gaming-mouse-2022...

    The best gaming mouse has low latency, a lightweight body, and plenty of features. Our experts select the 10 best gaming mouse options for any gamer.

  7. Floating-point unit - Wikipedia

    en.wikipedia.org/wiki/Floating-point_unit

    A floating-point unit (FPU), numeric processing unit (NPU), [1] colloquially math coprocessor, is a part of a computer system specially designed to carry out operations on floating-point numbers. [2] Typical operations are addition , subtraction , multiplication , division , and square root .

  8. Apple M4 - Wikipedia

    en.wikipedia.org/wiki/Apple_M4

    The M4 Neural Engine has been significantly improved compared to its predecessor, with the advertised capability to perform up to 38 trillion operations per second, claimed to be more than double the advertised performance of the M3. The M4 NPU performs over 60× faster than the A11 Bionic, and is approximately 3× faster than the original M1. [9]

  9. List of Intel CPU microarchitectures - Wikipedia

    en.wikipedia.org/wiki/List_of_Intel_CPU_micro...

    Itanium processor featuring an all-new microarchitecture. [26] 8 cores, decoupling in pipeline and in multithreading. 12-wide issue with partial out-of-order execution. [27] Kittson the last Itanium. It has the same microarchitecture as Poulson, but slightly higher clock speed for the top two models.