tag: University of Michigan

Chip Industry Week In Review
By The SE Staff - 14 Jun, 2024 - Comments: 0

Samsung unveiled its latest 2nm and 4nm process nodes, plus its AI solutions during the Samsung Foundry Forum. The company also introduced an aggressive roadmap for the next few years that includes 3D-ICs with logic-on-logic, starting in 2025; custom HBM with built-in logic; backside power delivery on 2nm technology in 2027; and co-packaged optics. In presentations at the event, the company als... » read more

Research Bits: May 28
By Jesse Allen - 28 May, 2024 - Comments: 0

Nanofluidic memristive neural networks Engineers from EPFL developed a functional nanofluidic memristive device that relies on ions, rather than electrons and holes, to compute and store data. “Memristors have already been used to build electronic neural networks, but our goal is to build a nanofluidic neural network that takes advantage of changes in ion concentrations, similar to living... » read more

Chip Industry Week In Review
By The SE Staff - 24 May, 2024 - Comments: 0

Absolics, an affiliate of Korea materials company SKC, will receive up to $75 million in direct funding under the U.S. CHIPS Act for the construction of a 120,000 square-foot facility in Covington, Georgia, for glass substrates in advanced packaging. imec will host a €2.5 billion (~$2.72B) pilot line for researching chips beyond 2nm, partially funded through the EU Chips Act. imec CEO Luc ... » read more

Chip Industry Technical Paper Roundup: April 2
By Linda Christensen - 02 Apr, 2024 - Comments: 0

New technical papers recently added to Semiconductor Engineering’s library. [table id=211 /] Find last week’s technical paper additions here. » read more

HW Implementation of Memristive ANNs
By Technical Paper Link - 22 Mar, 2024 - Comments: 0

A new technical paper titled "Hardware implementation of memristor-based artificial neural networks" was published by KAUST, Universitat Autònoma de Barcelona, IBM Research, USC, University of Michigan and others. Abstract: "Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units oper... » read more

Chip Industry’s Technical Paper Roundup: Sept 19
By Liz Allan - 19 Sep, 2023 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=141 /] More Reading Technical Paper Library home » read more

Chip Industry Week In Review
By The SE Staff - 15 Sep, 2023 - Comments: 0

By Gregory Haley, Jesse Allen, and Liz Allan TSMC told equipment vendors to delay deliveries of the most advanced tools due to uncertain demand, according to Reuters. The news drove down stock prices of all the major equipment providers. On the other hand, TSMC said advanced packaging shortages will constrain AI chip shipments for the next 18 months, according to NikkeiAsia. The United St... » read more

Formal Verification Of a Sequestered Encryption Architecture
By Technical Paper Link - 13 Sep, 2023 - Comments: 0

A technical paper titled “Security Verification of Low-Trust Architectures” was published by researchers at Princeton University, University of Michigan, and Lafayette College. Abstract: "Low-trust architectures work on, from the viewpoint of software, always-encrypted data, and significantly reduce the amount of hardware trust to a small software-free enclave component. In this paper, we... » read more

Security Research: Technical Paper Round-up
By Linda Christensen - 29 Aug, 2023 - Comments: 0

A number of hardware security-related technical papers were presented at the August 2023 USENIX Security Symposium. Here are some highlights with associated links. [table id=130 /] A complete listing of all papers presented at this summer's USENIX conference can be found here and here. The organization provides open access research, and the presentation slides and papers are free to the p... » read more

Physical Removal Attack On LiDAR Sensors And Mitigation Strategies
By Technical Paper Link - 22 Aug, 2023 - Comments: 0

A technical paper titled "You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks" was published by researchers at University of Michigan, University of Florida and the University of Electro-Communications (Japan). This paper was included at the recent 32nd USENIX Security Symposium. Abstract: "Autonomous Vehicles (AVs) increasingly use LiDAR-base... » read more

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