Chip Industry Week In Review


JEDEC and the Open Compute Project rolled out a new set of guidelines for standardizing chiplet characterization details, such as thermal properties, physical and mechanical requirements, and behavior specs. Those details have been a sticking point for commercial chiplets, because without them it's not possible to choose the best chiplet for a particular application or workload. The guidelines ... » read more

Chip Industry Week In Review


President Biden will raise the tariff rate on Chinese semiconductors from 25% to 50% by 2025, among other measures to protect U.S. businesses from China’s trade practices. Also, as part of President Biden’s AI Executive Order, the Administration released steps to protect workers from AI risks, including human oversight of systems and transparency about what systems are being used. Intel ... » read more

Chip Industry Technical Paper Roundup: May 13


New technical papers added to Semiconductor Engineering’s library this week. [table id=225 /] More ReadingTechnical Paper Library home » read more

Chip Industry Week In Review


By Adam Kovac, Gregory Haley, and Liz Allan. The U.S. government released a 61-page report, titled "National Strategy on Microelectronics Research,” by the Subcommittee On Microelectronics Leadership. It provides a framework for government, industry, academia, and international allies to address four major goals. Synopsys  acquired Intrinsic ID, which develops physical unclonable func... » read more

Chip Industry Week In Review


By Adam Kovac, Karen Heyman, and Liz Allan. Europe's semiconductor footprint is growing in areas that previously had little association with chips. Silicon Box plans to build a panel-level foundry in northern Italy, funded in part by the Italian government. The deal is worth around €3.2 billion ($3.6B). In addition, imec will establish a specialized 300mm chip technology pilot line in M... » read more

Security Research: Technical Paper Round-up


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

Week In Review: Auto, Security, Pervasive Computing


The AI chip market is booming. Gartner expects revenue for the year will hit $53.4 billion, up 20.9% from 2022. The firm predicts that number will grow to $119 billion by 2027.  In the consumer electronics market, the value of AI-enabled application processors will amount to $1.2 billion in 2023, up from $558 million in 2022. Germany will spend nearly €1 billion (~US$1.7B) over the next t... » read more

Microarchitectural Side-Channel Attacks And Defenses on NVRAM DIMMs


A new technical paper titled "NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems" was published by researchers at UC San Diego, Purdue University, and UT Austin. This paper was included at the recent 32nd USENIX Security Symposium. Abstract: "We study microarchitectural side-channel attacks and defenses on non-volatile RAM (NVRAM) DIMMs. In this study, we first perform r... » read more

Chip Industry’s Technical Paper Roundup: May 23


New technical papers recently added to Semiconductor Engineering’s library: [table id=104 /] 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... » read more

RL-Guided Detailed Routing Framework for Advanced Custom Circuits


A technical paper titled "Reinforcement Learning Guided Detailed Routing for Custom Circuits" was published by researchers at UT Austin, Princeton University, and NVIDIA. "This paper presents a novel detailed routing framework for custom circuits that leverages deep reinforcement learning to optimize routing patterns while considering custom routing constraints and industrial design rules. C... » read more

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