Chinese semiconductor industry

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tokenanalyst

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Maybe this is a way out for Chip companies that were forced to invest in the US. Many of them have already complained about cost overrun and lack of qualified workers.
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Taking into account the inflation that the world is experience right now, 52B doesn't sound a lot of money, TSMC alone is putting 12B of its own money in the Arizona fab, wanting US companies to cut future revenue in China for investment crumbs that will mostly benefit Intel doesn't sound to great.
 

tokenanalyst

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Warm congratulations on AccoTEST's global delivery of 5,000 units​

2022-07-18 50
On July 18, 2022, AccoTEST held a commemorative event in the lobby on the first floor of its Beijing headquarters to celebrate the global delivery of the 5000th STS8000 series tester. In this event, domestic subsidiaries, technical centers in various regions, and overseas subsidiaries witnessed this important moment in the way of online video conference access.

After the accumulation of 5,000 units, AccoTEST has achieved two breakthroughs:
First, the product has developed from a relatively single analog IC test platform to an analog IC test platform, a larger-scale analog PMIC test platform, as well as two platforms of high-power devices, module test platforms, and four major applications;
Second, the overseas market expansion has achieved remarkable results, and has now achieved an installed capacity of several hundred units in 12 overseas countries and regions.

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european_guy

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Taking into account the inflation that the world is experience right now, 52B doesn't sound a lot of money, TSMC alone is putting 12B of its own money in the Arizona fab, wanting US companies to cut future revenue in China for investment crumbs that will mostly benefit Intel doesn't sound to great.

"The legislation would prohibit companies from expanding their semiconductor manufacturing in China for 10 years after they take a grant to build a US plant."

This seem targeted to TSMC and Samsung. If they build their fab in US and get a grant for it, they can't invest in China anymore.

This is totally nonsensical and against even the most basic international trade's laws...but US has shown time and again that they really have no limits nor shame in what they can ask/order.

For TSMC and Samsung it would be the dumbest thing they could ever do if they accept this gross blackmail. They have been strongly lured / forced to invest in US (against their will, BTW), and now they get also this second shot.
 

FairAndUnbiased

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View attachment 93491

Zoomers and Millennials prefer coding rather than hard engineering.
IMO it's because EE is just outright harder than computer science. In fact I'd say it's the 2nd hardest major overall (below only a math degree).

People say physics is math heavy. True but it is intuitive math, just some calculus, and it is easy to draw a picture in your head for classical mechanics, thermodynamics, even quantum mechanics (i.e. graphing simple wavefunctions). The graphs are easy to understand, usually something as a function of time or distance. These are relatively easy graphs to read: it's either something changing with time, or a spatial distribution.

Even in physics, the universally most hated/feared class is classical electrodynamics which is just 1 class but is basically half the classes for an EE.

Eventually you develop a 'intuition' and don't need too much math to explain concepts and most of all, you just view real world phenomena as a "modified case" of something you already solved before.

Electrical engineering is much more abstract.
 

henrik

Senior Member
Registered Member
Taking into account the inflation that the world is experience right now, 52B doesn't sound a lot of money, TSMC alone is putting 12B of its own money in the Arizona fab, wanting US companies to cut future revenue in China for investment crumbs that will mostly benefit Intel doesn't sound to great.
China should counter by doing something similar. The world cannot allow US control of the chips industry.
 

vincent

Grumpy Old Man
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Moderator - World Affairs
IMO it's because EE is just outright harder than computer science. In fact I'd say it's the 2nd hardest major overall (below only a math degree).

People say physics is math heavy. True but it is intuitive math, just some calculus, and it is easy to draw a picture in your head for classical mechanics, thermodynamics, even quantum mechanics (i.e. graphing simple wavefunctions). The graphs are easy to understand, usually something as a function of time or distance. These are relatively easy graphs to read: it's either something changing with time, or a spatial distribution.

Even in physics, the universally most hated/feared class is classical electrodynamics which is just 1 class but is basically half the classes for an EE.

Eventually you develop a 'intuition' and don't need too much math to explain concepts and most of all, you just view real world phenomena as a "modified case" of something you already solved before.

Electrical engineering is much more abstract.
I took Control Systems in my fourth year. It was damn hard
 

tokenanalyst

Brigadier
Registered Member
IMO it's because EE is just outright harder than computer science. In fact I'd say it's the 2nd hardest major overall (below only a math degree).

People say physics is math heavy. True but it is intuitive math, just some calculus, and it is easy to draw a picture in your head for classical mechanics, thermodynamics, even quantum mechanics (i.e. graphing simple wavefunctions). The graphs are easy to understand, usually something as a function of time or distance. These are relatively easy graphs to read: it's either something changing with time, or a spatial distribution.

Even in physics, the universally most hated/feared class is classical electrodynamics which is just 1 class but is basically half the classes for an EE.

Eventually you develop a 'intuition' and don't need too much math to explain concepts and most of all, you just view real world phenomena as a "modified case" of something you already solved before.

Electrical engineering is much more abstract.
Agree, EE is very abstract so that adds up to its difficulty. In my HMO Digital electronics is not that hard compared for example to analog electronics or designing mixed signal circuits.
although EE is more code like these days, you see, a designer basically write chips in a hardware description language and everything from the verification to electrical simulation(spice) to the layout generation is done algorithmically. Processes and devices are designed in TCAD finite element programs, some even use python or matlab to simulate processes. But still, different from coding all this devices and processes has to be built and tested in the real world not just to run in a computer, that makes thing more difficult.
 

latenlazy

Brigadier
Agree, EE is very abstract so that adds up to its difficulty. In my HMO Digital electronics is not that hard compared for example to analog electronics or designing mixed signal circuits.
although EE is more code like these days, you see, a designer basically write chips in a hardware description language and everything from the verification to electrical simulation(spice) to the layout generation is done algorithmically. Processes and devices are designed in TCAD finite element programs, some even use python or matlab to simulate processes. But still, different from coding all this devices and processes has to be built and tested in the real world not just to run in a computer, that makes thing more difficult.
The half of EE that’s physics is fine. The half of EE that gets into system design is basically applied math with real constraints imposed by physical parameters. Which is a pain. I never did an EE degree but from watching friends tackle the degree and from dabbling into the subject a bit on my own (either for work related stuff or just for fun) my understanding is that the right approach to get through the degree is to discard trying to comprehend everything by first principles, recognize most things you’re being taught about systems design are just good enough patterns that people have agreed to go with to make things work so a lot of that knowledge is just pattern memorization, and then tinker with better ways to think about the mechanics of system design or how to improve it on your own time. So basically the opposite learning method you get used to for any other subdomain of physics.
 
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