tag: UCSD

DAC/Semicon West Addresses Top Issues, Trends For Chips
By The SE Staff - 12 Jul, 2023 - Comments: 0

The Design Automation Conference (DAC) 2023 and Semicon West returned in full force this week, drawing in more attendees and sponsor companies than since before the pandemic. At times, booth traffic was four to five deep, blocking aisles, and standing room only was common at presentations. Hot topics included generative AI and the underlying semiconductor technology, data security, reliabili... » read more

Technical Paper Roundup: Sept. 12
By Linda Christensen - 12 Sep, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=51 /] 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 f... » read more

Structural Phase Transition In Minute Detail On A Very Fast Timescale–A Path To Improved Computer Memories (Argonne National Lab)
By Technical Paper Link - 07 Sep, 2022 - Comments: 0

A new technical paper titled "X-ray nanodiffraction imaging reveals distinct nanoscopic dynamics of an ultrafast phase transition" was published by researchers at Argonne National Lab, UCSD, and the University of Wisconsin–Madison. According to Argonne National Lab's news release," researchers have for the first time been able to look at a structural phase transition in minute detail on a ... » read more

Technical Paper Round-Up: Aug 23
By Linda Christensen - 23 Aug, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=46 /] 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... » read more

Week In Review: Manufacturing, Test
By Karen Heyman - 19 Aug, 2022 - Comments: 0

The U.S. Commerce Department issued export controls on key technologies, including gallium oxide (Ga2O3) and diamond substrates, which are used at high voltages and temperatures, as well as EDA tools specifically developed for GAA FETs. It's not clear how this will impact EDA companies, because many of the tools that will be used for designing for GAA FETs already are in use today for finFETs. ... » read more

Efficient Neuromorphic AI Chip: “NeuroRRAM”
By Technical Paper Link - 17 Aug, 2022 - Comments: 0

New technical paper titled "A compute-in-memory chip based on resistive random-access memory" was published by a team of international researchers at Stanford, UCSD, University of Pittsburgh, University of Notre Dame and Tsinghua University. The paper's abstract states "by co-optimizing across all hierarchies of the design from algorithms and architecture to circuits and devices, we present ... » read more

Tradeoffs In Archiving Data
By Karen Heyman - 11 Aug, 2022 - Comments: 0

If you’ve ever had to sort through old technical documents, wondering what still has value and what can be safely tossed, you can identify with the quandary of Thomas Levy, UCSD professor of anthropology and co-founder of the field of cyber-archaeology. Staring at thousands of pieces of pottery in a Jordanian dessert, he erred on the side of keeping it all. “My personal perspective when ... » read more

Technical Paper Round-up: June 14
By Linda Christensen - 14 Jun, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=33 /] 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 f... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

Sensors In Fire Detection
By Susan Rambo - 02 Jun, 2022 - Comments: 0

The last 10 years or so have produced some colossal and deadly fire events that have destroyed whole towns, burned a record amount of acreage, and polluted skies for weeks. And wildfires are not just happening in the Western United States but have burnt out of control in Europe, the Amazon, and Australia. Early wildfire detection and forest management via controlled burns are two ways to pre... » read more

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