What happens when you use DRAM at extremely low temperatures?
Rambus Chief Scientist Craig Hampel talks with Semiconductor Engineering about quantum computing and the power/performance benefits of running DRAM at extremely low temperatures.
Next-gen lithography technology resurfaces for a variety of tasks.
This more than Moore technology is still ramping up, and problems need to be solved, but it could lead to some fundamental changes.
Why this technology approach is suddenly getting attention, and what hurdles still remain.
How electric vehicles, autonomous driving and car sharing are impacting chip design.
Academia, startups and technology giants are addressing health care through collaboration, creativity, and tremendous compute power.
As advanced-node chips are added into cars, and usage models shift inside of data centers, new questions surface about reliability.
Complicated and expensive technologies are being planned all the way to 2030, but it’s not clear how far the scaling roadmap will really go.
Growth will remain steady, but it’s getting harder and more expensive to move to the next nodes.
Is the industry heading toward another hardware/software divide in machine learning? Both sides have different objectives.
Flexible hybrid electronics are showing up in a variety of markets where electronics never existed before.
Autonomous vehicles will cause fundamental shifts across a number of established industry segments tied to automotive, opening up big opportunities for chips and tools.
The country is banking on DRAM and NAND to reduce its trade deficit.
Growing number of process options is creating confusion across the semiconductor industry.
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Big thank you for this interview, Ed. When I first heard about this, I found it counter-intuitive. Surely electrons would slow down. How could it work? Loved the interview and your questions. Very “cool” stuff in more ways than K.