• intel
  '''Artificial Intelligence:''' '''Artificial Intelligence'''
  9 KB (1,150 words) - 00:03, 2 October 2022
• neural processor
  ...ng]] algorithms, typically by operating on [[predictive models]] such as [[artificial neural network]]s (ANNs) or [[random forest]]s (RFs). ...processing unit'' (''TPU''), ''neural network processor'' (''NNP'') and ''intelligence processing unit'' (''IPU'') as well as ''vision processing unit'' (''VPU'')
  5 KB (640 words) - 16:27, 26 September 2023
• bitmain/sophon/bm1680
  |market=Artificial Intelligence ...so for training of neural networks, suitable for working with the common [[artificial neural network|ANNs]] such as [[convolutional neural network|CNN]], [[recur
  4 KB (603 words) - 09:59, 11 August 2018
• hardware acceleration
  * Artificial Intelligence
  1 KB (171 words) - 20:29, 19 November 2017
• intel/etann
  |market=Artificial Intelligence * Holler, Mark, et al. "An electrically trainable artificial neural network (ETANN) with 10240 floating gate synapses." International Jo
  4 KB (568 words) - 17:12, 11 February 2018
• intel/loihi
  |market=Artificial Intelligence Loihi is fabricated on Intel's [[14 nm process]] and has a total of 130,000 artificial neurons and 130 million synapses. In addition to the 128 neuromorphic cores
  12 KB (1,817 words) - 01:28, 1 October 2021
• intel/microarchitectures/cascade lake
  ...|AVX512VNNI}} which is designed to improve the performance of [[Artificial Intelligence]] workloads by improving the throughput of tight inner convolutional loop o
  32 KB (4,535 words) - 05:44, 9 October 2022
• intel/microarchitectures/knights mill
  ...nce computing designed specifically for the [[acceleration]] of artificial intelligence workloads.
  3 KB (388 words) - 02:47, 20 May 2019
• intel/xeon phi/7295
  ...te [[2017]] specifically designed to [[accelerator|accelerate]] artificial intelligence workloads. This processor, which is fabricated on their own [[14 nm process
  3 KB (495 words) - 10:28, 10 May 2019
• intel/xeon phi/7285
  ...te [[2017]] specifically designed to [[accelerator|accelerate]] artificial intelligence workloads. This processor, which is fabricated on their own [[14 nm process
  3 KB (495 words) - 10:28, 10 May 2019
• intel/xeon phi/7235
  ...te [[2017]] specifically designed to [[accelerator|accelerate]] artificial intelligence workloads. This processor, which is fabricated on their own [[14 nm process
  3 KB (495 words) - 10:28, 10 May 2019
• nervana
  ...abless]] [[American]] semiconductor company that specializes in Artificial Intelligence and development of [[neural processors]]. Nervana-based product development ...e of the earliest startups to specialize in the acceleration of Artificial Intelligence workloads. Nervana first-generaiton product sampled in limited quantities a
  2 KB (194 words) - 09:01, 11 June 2021
• nvidia/tegra/xavier
  |market=Artificial Intelligence
  8 KB (1,263 words) - 03:08, 9 December 2019
• qualcomm/vision intelligence/qcs603
  |family=Vision Intelligence == Artificial Intelligence Engine ==
  3 KB (302 words) - 22:05, 12 April 2018
• qualcomm/vision intelligence/qcs605
  |family=Vision Intelligence == Artificial Intelligence Engine ==
  3 KB (302 words) - 22:05, 12 April 2018
• university of manchester/spinnaker
  |market=Artificial Intelligence
  2 KB (215 words) - 10:19, 19 May 2018
• qualcomm/snapdragon 7
  ...features include advanced camera functionalities and Qualcomm's Artificial Intelligence Engine (AIE).
  3 KB (366 words) - 05:51, 3 October 2022
• baidu
  ...years, the company has increased its presence in the area of [[artificial intelligence]].
  721 bytes (79 words) - 00:31, 5 July 2018
• bitmain/sophon
  ...neural processors]]. [[Bitmain]] started exploring the field of artificial intelligence and neural processors as early as [[2015]]. By April 2017, their first prod
  3 KB (413 words) - 12:02, 25 December 2018
• bitmain/sophon/bm1682
  |market=Artificial Intelligence
  713 bytes (92 words) - 00:44, 16 September 2018

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