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Any thoughts on this technology and where it may go appreciated. Thanks
But while modern electronic computers are far faster than even those mathematical geniuses were with paper, pencils, and slide rules, there’s another type of computing that leaves it eating space dust – optical computing...
Allowing Nvidia to sell its chips in China will slow down their progress to developing their own industry. It will be interesting to see how China diverts money and resources away from advanced AI chips to other areas. Any thoughts on where they will divert these freed up resources will be...
Micron abandoning retail sales to focus on commercial clients, is just one step towards data centers taking compute power and diversity becoming the most economical way of keeping up with the latest programs. Handling and managing complex and expensive programs and platforms make no sense on...
Shrinkage has come to an end, will it be stacking, increase in energy efficiency, production processes or maybe even cost reductions? Are there any radical changes at all on the horizon?
I feel the world is still in the early stages of AI/ML and will be until true AI/ML can learn and adapt on its own. This will require a whole new level of inputs with a careful use of architecture designed for this particular purpose. Any thoughts would be appreciated, THANKS
Understanding the whole picture is important and this is why TSM is the leader and Intel an also ran. I hope Intel can turn around with a great management team, but it has not happened yet.
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?
Is there any way Intel can recover even part of their past glory or is it to late?
Intel Guts Oregon Plant—15,000 Laihttps://semiwiki.com/d Off as ‘America’s Chip King’ Loses Billions Per Quarter
Intel, once the clear leader in computer chips, is going through one of the biggest changes in its...
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...