Smarter Ways To Manufacture Chips


OSAT and wafer fabs are beginning to invest in Industry 4.0 solutions in order to improve efficiency and reduce operating costs, but it's a complicated process that involves setting up frameworks to evaluate different options and goals. Semiconductor manufacturing facilities have relied on dedicated automation teams for decades. These teams track and schedule chip production, respond to equi... » read more

100G Ethernet At The Edge


The amount of data is growing, and so is the need to process it closer to the source. The edge is a middle ground between the cloud and the end point, close enough to where data is generated to reduce the time it takes to process that data, yet still powerful enough to analyze that data quickly and send it wherever it is needed. But to make this all work requires faster conduits for that data i... » read more

Blog Review: April 19


Synopsys' Soren Smidstrup and Kerim Genc explore how materials modeling helps battery designers explore the wide playing field for new battery materials and optimize performance by co-designing the structure and chemistry of new batteries, ultimately shortening development time and cost. Siemens' Stephen Chavez finds that enabling multiple engineers to work simultaneously within the same PCB... » read more

Using AI To Improve Metrology Tooling


Virtual metrology is carefully being added into semiconductor manufacturing, where it is showing positive results, but the chip industry is proceeding cautiously. The first use of this technology has been for augmenting existing fab processes, such as advanced process control (APC). Controlling processes and managing yield generally do not require GPU processing and advanced algorithms, so t... » read more

Week In Review: Design, Low Power


Arm and Intel Foundry Services inked a multi-generation agreement to enable chip designers to build Arm-based SoCs on the Intel 18A process. The initial focus is mobile SoC designs, but the deal allows for potential expansion into automotive, IoT, data center, aerospace, and government applications. IFS and Arm will undertake design technology co-optimization (DTCO) to optimize chip design and ... » read more

Week In Review: Auto, Security, Pervasive Computing


Public USB phone charging stations are now another vector that bad actors can use to plant malware and steal data on devices — known as "juice jacking," according to the United States’ Federal Communications Commission (FCC). The FCC is encouraging people to stay away from these public charging stations, found in airports and hotels, because of bad actors can install malware on the charging... » read more

Thermal Integrity Challenges Grow In 2.5D


Thermal integrity is becoming much harder to predict accurately in 2.5D and 3D-IC, creating a cascade of issues that can affect everything from how a system behaves to reliability in the field. Over the past decade, silicon interposer technology has evolved from a simple interconnect into a critical enabler for heterogeneous integration. Interposers today may contain tens of dies or chiplets... » read more

What Designers Need To Know About GAA


While only 12 years old, finFETs are reaching the end of the line. They are being supplanted by gate-all-around (GAA), starting at 3nm [1], which is expected to have a significant impact on how chips are designed. GAAs come in two main flavors today — nanosheets and nanowires. There is much confusion about nanosheets, and the difference between nanosheets and nanowires. The industry still ... » read more

Transitioning To Photonics


Silicon photonics is undergoing a resurgence as traditional approaches for reducing power and heat become more difficult and expensive, opening the door to a whole new set of technological challenges and driving up demand for a skill set that is in short supply today. From a technology standpoint, photonics is extremely complex. Signals drift, they are modulated with heat, and structures lik... » read more

How eMRAM Addresses The Power Dilemma In Advanced-Node SoCs


By Rahul Thukral and Bhavana Chaurasia Our intelligent, interconnected, data-driven world demands more computation and capacity. Consider the variety of smart applications we now have. Cars can transport passengers to their destinations using local and remote AI decision-making. Robot vacuum cleaners keep our homes tidy, and smartwatches can detect a fall and call emergency services. With hi... » read more

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