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Between optical chips and large scale chips like the Cerebra's large-scale chip could this change the whole game as far as size and location of data centers and even bring that power to offices and the home cutting the demand for data centers in the future by as significant amount?
This is why TSM is building its fabs in Arizona. Stable ground enables them to have the flattest floors to build on, the foundation is critical and TSM knows this better than anyone. The accuracy required is almost beyond the imagination, measured in thousandths of an inch.
With the power of four trillion transistors and power saved by not having to communicate with other chips in a rack, will this change the data center game and in how many ways?
https://www.msn.com/en-us/news/technology/intel-guts-oregon-plant-15-000-laid-off-as-america-s-chip-king-loses-billions-per-quarter/ar-AA1Q9eIo?cvid=6912290ca24640d49e092d047a01afe6&ei=51
Is there any way Intel can recover even part of their past glory or is it to late?
If TSM couldn't staff its US fabs without bringing over people from its Taiwan fabs, what chance does Elon Musk have of not only staffing his fabs, but getting the equipment that has very long lead times to equip his fabs? Also, it takes years for established player to build and staff a fab...
There are so many applications for AI/ML to be profitable, that growth is almost inevitable. It's like a gold rush where many go broke, but for some staggering fortunes are to be made, since the market is not only worldwide, but there are a staggering number of applications and many to be yet...
The air traffic control challenge is a worldwide market with numerous similar areas with severe challenges; the question is will anyone or company use AI/ML to take some of the load off? This is a major opportunity looking desperately for a solution.
AI/ML are very powerful tools that require a totally different mindset than most have now. It will be those that master how and when to apply both these powerful forces together and not separately that will be the game changers in their industries. Both utilization and application together...
I can't see TSM not planning for the quantum computing game. Any thoughts, comments or observations welcome. Also, if not TSM, what companies will dominate quantum computing? What timeline do readers feel the quantum computing trend will follow? Will it end up being a specialized tech or a...
The self-check out design will have to change. You have to have the item placed on a belt and fed though a scanner to where you put it into a bag in a separate area. This would be faster and more theft proof than current systems and also faster. Even better, have the store be a giant vending...
Everyone is just learning to work with AI/ML at this point, and we are still in the very, very early stages of development. Once more people learn to really work with it and unlock its full potential, the world will change in ways most haven't even imagined. Everything has been developing at...
How about automating a few functions at a time as they prove themselves out? If we could lessen the load a little at a time this could lighten the load. Take off the easy parts first.
Even a semi-automated system could lighten the load and in the near future an automated system could handle most of the work and only human involvement on a limited basis. Soon AI systems will outperform and be far safer than having humans involved.
It has been done for years on a very limited basis, I see it becoming widespread in five years and dominating in ten as a company will have to convert or die. This will also apply to commercial enterprises. Amazon and others are still in the early stages. Our world is going to change more and...
Converting traditional stores to giant vending machines will be the future and create a massive new market for many areas of the tech sector. It will increase retail efficiency massively, cut down theft and save time for the customers. Order online or at the store with the option of home...
Having worked on million-watt systems, you just learn to be careful and not do it on a bad day. I supervised crews in this area and made some of the work voluntary.
