Recent content by Diogene7

I am more keen on spintronics and ferroelectric related technologies as it seems that they could be better both for lower power digital computing and neuromorphic computing which are two important drivers nowadays and in the upcoming future…

To my knowledge, the European semiconductor research center IMEC was able to build a prototype but not with all needed key metrics. So indeed there isn’t yet any hard proof yet. That the reason why I would first allocate significant AI ressources to help find appropriate materials that would...

In theory, Intel seems to have shown that their Intel MESO (Magnetoelectric spin-orbit) logic, a post-CMOS technology related to spintronics, is much more amenable to both low-power logic and low-power neuromorphic computing. For example, emerging Non-Volatile-Memory (NVM) / Persistent Memory...

It would be even more revolutionnary if it would be using persistent memory / Non-Volatile-Memory (NVM) MRAM like SOT-MRAM developed by European research center IMEC : it would open plenty new oportunities ...

IMO, at this point in time, it is still too early to allocate significant resources to quantum computing, without first mastering spintronics related technologies. It is bit like if for space exploration, we would have gone straight for Mars before even launching a satellite in doace or going...

I find it a bit pity that STMicroelectronics only plans a 200mm SiC wafers Fab, and didn’t take the opprtunity to attempt to leapfrog competitors by scaling up straight to 300mm SiC wafers… I am confident that 300mm SiC wafers would ultimately allow to further reduce costs, and open even more...

I agree as well that it is a shame since Intel Optane is gone that there isn’t any lower latency persistent memory on the market :(… I hope that CXL will help enable the introduction of new persistent memory with low latency that will likely be very expensive at first (ex: Nantero carbon...

I think that with proper funding allocation (like they did with battery, EV, solar,…) spintronics related technologies could likely become a much more emergent technology in 10 years, and if so, China would be a leader in manufacturing tools / ecosystem in this technology because they would have...

I am not confident in great battery life, because of the missing information in the statements… Cristiano Amon claims great energy efficiency (battery life) in video playback or AI tasks, but not in other use cases (web browsing, word/excel usages,…). Therefore, it is likely that for all...

Although it will definitely be a helpful tool, I am not a big believer in the digital AI as it is done at the moment : it is very, very energy inefficient and has its limits. Somr Intel researchers seems to have shown that spintronics related technologies like Intel MESO concept (or related...

China should allocate early more funding to develop spintronic related technologies like Non-Volatile-Memory (NVM) MRAM because it would provide them the opportunity to take technological leadership in beyond CMOS technologies. It is basically what they did with EVs, batteries, solar panels,…

I am wondering if the integration of this silicon photonics technology could help create an Apple Pro Display XDR, that would have the same kind of connector used to connect to the Apple Pro stand (the magnetic circle) but that would also integrate silicon photonics connectivity : this would...

It is really crazy that billions of dollars are allocated to current AI technology that rely on hugely energy inefficient silicon transistor technology. I would think the problem should be tackled differently, in order to accelerate the transition to much more energy efficient beyond CMOS...

Sure I understand that, but they should actually ALSO at the same time, significantly increase the budget allocated to scale-up manufacturing of emerging spintronics related technology (like Non-Volatile-Memory MRAM which is likely the low hanging fruit as a 1st step) because it is a key enabler...

Although I understand the push to bigger and bigger infrastructure for AI, I really don’t understand why Microsoft, Google, Amazon,… persist in using energy inefficient silicon transistors. At this stage, it seems obvious that there is a need to scale-up spintronics MRAM manufacturing...