FP8 HW spec for AI training/inferencing; quantum sensing; DRAM chips; equivalence checking; frequency comb generators; 2D materials for HW security; RF performance for ultra-thin indium oxide transistors; comparing neural networks; FPGA random number generator; rad-hard non-volatile magnetic latch.
New technical papers added to Semiconductor Engineering’s library this week.
Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us posting links to papers.
Leave a Reply