You are currently viewing SemiWiki as a guest which gives you limited access to the site. To view blog comments and experience other SemiWiki features you must be a registered member. Registration is fast, simple, and absolutely free so please, join our community today!
The more money they spend buying imports allow less money for developing home grown solutions and the more money foriegn companies make to advance research.
In the near future we will have autonomous AI that will operate on its own handling many tasks in the background without us even knowing or directing it. This will become part of the "Great Acceleration" that I have written about in the past, but far greater scale than most have even imagined...
Letting China buy advanced chips at this point could cripple Chinese companies and could benefit the foreign makers, could this be a reality of commercial warfare that has been going on for years? Should we support embargoes that allow/force China to build up a substantial and competitive...
Any thoughts on how long the AI/ML evolution will continue and the directions it will take? I feel we have at least five more years for the technologies involved to play out will see far deeper and much more diversity in the applications over what we have already seen.
AI/ML is in its very, very early stages and the winners will be those that learn how to not only apply AIs great power and efficiency but apply this to the finances behind it. AI/ML holds the promise of huge savings, but many will be made obsolete as their skill sets are rendered obsolete and...
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?
