In addition to the core highlights of the Fusion Reality (MR) Alloy project at Intel's IDF16 in San Francisco, a new generation of XEON PHI processors are also released. Intel, NIVIDIA, and AMD are the old rivals of the PC era. In the era of artificial intelligence, what kind of spark will their competition collide?
By the fact that IDF16's temperature has not faded, we will first talk about Intel's efforts in artificial intelligence in the missed mobile Internet dividend, which will be released by Intel, NVIDIA and AMD in 2016. XEON PHI, NVIDIA Tesla, and AMD FirePro S processors explore who can become the dominant player in artificial intelligence.
Intel actively deploys artificial intelligence
The data shows that the global artificial intelligence market reached 168.39 billion yuan in 2015. It is expected to reach nearly 370 billion yuan in 2020, with a compound annual growth rate of 17%. Google, Facebook, Microsoft and other technology giants have bet on the field of artificial intelligence, PC chip overlord Intel also began to lay out in the field of artificial intelligence after missing the dividend of the mobile Internet.
Global artificial intelligence market scale 2015-2020
In 2015, Intel acquired Altera, the world's second-largest FPGA vendor with annual revenues of less than $2 billion, for $16.7 billion. Because FPGA has certain programmability, between dedicated chip and general-purpose chip, it can simultaneously perform data parallel and task parallel computing, and has higher cost performance than GPU and CPU in specific scenes such as image recognition and signal processing. So this move is considered to be an important strategy for Intel to deploy artificial intelligence.
Prior to IDF16, Intel announced the acquisition of the deep learning startup Nervana System, a company with independent intellectual property rights in the chip field. Its Engine chip has the energy and performance advantages of traditional GPUs in deep learning.
With two major acquisitions, Intel has basically completed two shortcomings in artificial intelligence, especially machine learning, and has further extended the processor's business system. More importantly, Intel's venture capital institutions have been active in the field of artificial intelligence in the past few years.
Intel XEON PHI processor
On IDF16, Intel released the third-generation Xeon Phi processor, codenamed Knights Mil. It will be the successor of the 2011 Knigts Corner, 22nm process, up to 61 cores, floating point performance 1TFLOPS, and 2013s Knights Landing, 14nm process, up to 72 cores, floating point performance 3+TFLOPS.
The Knights Mill architecture is the third generation. It only knows that it will be available in 2017, the process technology will be upgraded to 10nm, and it will support Intel's second-generation Omni-path network architecture, but Intel has not announced too many details, specific performance levels. Also unknown. However, in addition to continuing to improve energy efficiency, optimize parallel performance, enhance various operational accuracy, and match high-energy and large-capacity memory, Knights Mill will also focus on DL deep learning.
Xeon Phi is Intel's processor for the high-performance computing market. Compared with NVIDIA's Tesla and AMD's FirePro S, the latter two are GPU-based. Xeon Phi is the X86 multi-core architecture.
The handheld addresser is used to program the address of the monitoring module offline. When in use, connect the two output wires of the handheld encoder to the communication bus terminal (terminal label 1, 2) of the monitoring module, turn on the black power switch on the right side upwards, and press "ten Add", [Subtract ten", [Add one place" and [Subtract one place" to program the address.
Motion Sensor Photocell Light Control,Sensor For Motion Control,Exterior Motion Sensor Control,Hollow Shaft Encoder
Changchun Guangxing Sensing Technology Co.LTD , https://www.gx-encoder.com