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楼主: qwer126

[求助] 有没有人从电子行业转人工智能成功的?

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发表于 2017-11-18 20:36:35 | 显示全部楼层
突破口
发表于 2017-11-18 20:37:19 | 显示全部楼层
迷茫吖
发表于 2017-11-18 20:37:56 | 显示全部楼层
迷茫的
发表于 2017-11-18 20:38:44 | 显示全部楼层
精细的最
发表于 2017-11-19 02:47:18 | 显示全部楼层
人工智能专用硬件?
发表于 2017-11-19 07:11:45 | 显示全部楼层
http://www.comsoc.org/ctn/death-and-possible-rebirth-dsp

Maybe DSP is not dead but has just left the building, moving into new and more profitable areas?

Will would be the first to point out, as he does expertly every month in his newsletter, that DSPs are all over the place (mainly in cellular handsets), but are hidden from the view of all but a few programmers. However, old DSPing techniques are constantly being re-discovered in new areas (see the article on faster than Nyquist in this news feed for example) in many cases as a result of the overall advancement of technology. Big Data, Cloud Computing and the Internet of Things (IoT), in particular have expanded the application reach of DSPing concepts, introducing them to a broader group of innovative people. IoT may even lead to a resurgence in DSPors. Neural networking for instance, just fancy adaptive filtering, used to be solidly in the DSPing camp but is now a sexy big data technology and is often introduced as a new technology. Classical DSP was based on models from Physics but Machine Learning is based on models from data and hence Digital Signal Processing engineers have morphed into Data Scientists. DSPing remains on the front end of all of this for the pre-processing of signals into data. As we said above, the end of Moore and Denning may bring back DSPor type systems with a vengeance in the next few years, maybe specifically for deep learning.
发表于 2017-11-21 23:07:50 | 显示全部楼层
在通信行业搞了近20年了,正努力学习人工智能基本知识,也想转行呢
发表于 2017-11-23 09:21:44 | 显示全部楼层
也没那么好转吧
发表于 2017-11-28 20:18:33 | 显示全部楼层
IC和AI还是有点关系的,不管是FPGA还是ASIC,都也在发展中。当然,最相关的还是搞算法的,感觉软件是永远的常青树啊
发表于 2017-12-5 13:09:12 | 显示全部楼层
好火啊 不知道有人转没
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