Reducing Power In Data Centers


The rollout of generative AI, coupled with more data in general, is requiring data centers to run servers harder and longer. That, in turn, is generating more heat and accelerating aging, and to ensure these systems continue working over their projected lifetimes, chipmakers are building extra margin into chips. That increases the amount of energy required to run and cool them, and it can short... » read more

Plugging Gaps In The IC Supply Chain


Multiple touch points in manufacturing and packaging are exposing gaps in the data used to track different components, making it difficult to identify the source of issues that can affect yield and reliability, and opening the door to counterfeit or sub-standard parts. This involves more than just assigning a simple identifying code to a chip. At different points in a device's lifecycle, new... » read more

Using Deep Data For Improved Reliability Testing


Reliability testing always has been a challenge for semiconductor companies, but it’s becoming much more difficult as devices continue to shrink, as they’re integrated together in advanced packages, and as they’re utilized under different conditions with life expectancy that varies by application and use case. Nir Sever, senior director of business development at proteanTecs, and Luca Mor... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Synopsys acquired Imperas, pushing further into the RISC-V world with Imperas' virtual platform technology for verifying and emulating processors. Synopsys has been building up its RISC-V portfolio, starting with ARC-V processor IP and a full suite of tools introduced last month. The first high-NA EUV R&D center in the U.S. will be built at... » read more

Fingerprinting Chips For Traceability


Semiconductor components increasingly require unclonable and tamper resistant identifiers, which are especially necessary as devices become increasingly heterogeneous collections of chiplets and subsystems. These fingerprints provide traceability, which contributes to process improvements and yield learning and enable tracking for a tightly managed supply chain. While some of this technology... » read more

Using In-Chip Monitoring And Deep Data Analytics For High Bandwidth Memory (HBM) Reliability And Safety


Since its introduction in 2014, High Bandwidth Memory (HBM) has been poised to address the growing demand for high-performance, high capacity, and low latency memories required by High-Performance Computing (HPC), high-performance graphic processors (GPU), and artificial intelligence (AI). Since then, bandwidth and capacity requirements have increased with each new generation: HBM2, HBM2e and n... » read more

Achieving Automotive Reliability With Advanced Monitoring Solutions


In today's automotive landscape, the integration of advanced software and hardware has transformed vehicles into complex data-driven machines. Sensors like cameras, radars, and lidars constantly monitor the vehicle's surroundings, feeding data to electronic control units that enable advanced driver assistance features like adaptive cruise control, lane-keeping assistance, and collision avoid... » read more

Rebalancing Test And Yield In IC Manufacturing


Balancing yield and test is essential to semiconductor manufacturing, but it's becoming harder to determine how much weight to give one versus the other as chips become more specialized for different applications. Yield focuses on maximizing the number of functional chips from a production batch, while test aims to ensure that each chip meets rigorous quality and performance standards. And w... » read more

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, Jesse Allen, and Liz Allan President Biden issued an executive order on the “Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.” It says entities need to report large-scale computing clusters and the total computing power available, including “any model that was trained using a quantity of computing power greater than 1,026 inte... » read more

Using Smart Data To Boost Semiconductor Reliability


The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is... » read more

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