AI For Data Management


Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data collected at every step of design through manufacturing continues to grow. Exacerbating the problem is the rising complexity of designs, many of which are highly customized and domain-specific at the leading edge, as well as increasing demands for reliabili... » read more

EDA Looks Beyond Chips


Large EDA companies are looking at huge new opportunities that reach well beyond semiconductors, combining large-scale multi-physics simulations with methodologies and tools that were developed for chips. Top EDA executives have been talking about expanding into adjacent markets for more than a decade, but the broader markets were largely closed to them. In fact, the only significant step in... » read more

Increased Automotive Data Use Raises Privacy, Security Concerns


The amount of data being collected, processed, and stored in vehicles is exploding, and so is the value of that data. That raises questions that are still not fully answered about how that data will be used, by whom, and how it will be secured. Automakers are competing based on the latest versions of advanced technologies such as ADAS, 5G, and V2X, but the ECUs, software-defined vehicles, an... » read more

Utilizing Artificial Intelligence For Efficient Semiconductor Manufacturing


The challenges before semiconductor fabs are expansive and evolving. As the size of chips shrinks from nanometers to eventually angstroms, the complexity of the manufacturing process increases in response. It can take hundreds of process steps and more than a month to process a single wafer. It can subsequently take more than another month to go through the assembly, testing, and packaging st... » read more

Partnership To Improve Semiconductor Quality And Yield


By Eran Rousseau (NI) and Eli Roth (Teradyne) The semiconductor industry is notorious for its high production costs and the critical importance of maintaining impeccable product quality. As technology advances and consumer expectations rise, semiconductor companies face constant pressure to meet these cost and quality goals while also delivering cutting-edge products. Traditionally, the s... » read more

ML-Assisted IC Test Binning With Real-Time Prediction At The Edge


IC Test is a critical part of semiconductor manufacturing and proper die binning and material disposition has an important impact on the overall yield and on the process monitoring and failure mode diagnostics. Edge analytics are becoming an increasingly important aspect of die disposition. By intercepting parts in real-time at the wafer test step, we can save downstream processing needs. In th... » read more

Smart Manufacturing Advances The Next Generation Of Semiconductor Chips


Semiconductor devices are ubiquitous in our everyday lives and foundational to today’s communication, education, manufacturing, health, and transportation industries. From the moment our phone’s alarm clock wakes us up to unwinding by streaming our favorite shows, it’s difficult to imagine modern life without the devices that semiconductors enable. To keep pace with performance and ... » 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

Unleashing The Power Of Test Through Data


In the relentless pursuit of technological innovation, test engineers find themselves facing ever-increasing pressures to deliver flawless products at an unprecedented pace. From the rapid evolution of autonomous vehicles to the advent of 5G and beyond, the demands on engineering teams continue escalating. While organizations strive to optimize their testing processes, the need for efficient te... » read more

Deploying Cutting-Edge Adaptive Test Analytics Apps


By Ken Butler, Advantest, and Guy Cortez, Synopsys Semiconductor test challenges abound in this era of AI. As such, semiconductor test engineering is increasingly moving towards fully adaptive test where each device receives the “right” test content to assess its correctness. Advantest and Synopsys have partnered to provide new cutting-edge real-time adaptive test applications at the te... » read more

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