Thinner Channels With 2D Semiconductors


Moving to future nodes will require more than just smaller features. At 3/2nm and beyond, new materials are likely to be added, but which ones and exactly when will depend upon an explosion of material science research underway at universities and companies around the globe. With field-effect transistors, a voltage applied to the gate creates an electric field in the channel, bending the ban... » read more

Fan-Out Packaging Options Grow


Chipmakers, OSATs and R&D organizations are developing the next wave of fan-out packages for a range of applications, but sorting out the new options and finding the right solution is proving to be a challenge. Fan-out is a way to assemble one or more dies in an advanced package, enabling chips with better performance and more I/Os for applications like computing, IoT, networking and sma... » read more

Finding, Predicting EUV Stochastic Defects


Several vendors are rolling out next-generation inspection systems and software that locates problematic defects in chips caused by processes in extreme ultraviolet (EUV) lithography. Each defect detection technology involves various tradeoffs. But it’s imperative to use one or more of them in the fab. Ultimately, these so-called stochastic-induced defects caused by EUV can impact the perf... » read more

Geopolitical And Economic Outlook For Chips And Equipment


Experts at the Table: Semiconductor Engineering sat down to discuss geopolitical and economic changes and how they affect the chip industry with Jean-Christophe Eloy, CEO of Yole Developpement; Risto Puhakka, president of VLSI Research; Carolyn Evans, chief economist at Intel; Duncan Meldrum, chief economist at Hilltop Economics; and Rozalia Beica, head of the semiconductor business at AT&S... » read more

Shifting Toward Data-Driven Chip Architectures


An explosion in data is forcing chipmakers to rethink where to process data, which are the best types of processors and memories for different types of data, and how to structure, partition and prioritize the movement of raw and processed data. New chips from systems companies such as Google, Facebook, Alibaba, and IBM all incorporate this approach. So do those developed by vendors like Appl... » read more

Targeting Redundancy In ICs


Technology developed for one purpose is often applicable to other areas, but organizational silos can get in the way of capitalizing on it until there is a clear cost advantage. Consider memory. All memories are fabricated with spare rows and columns that are swapped in when a device fails manufacturing test. "This is a common method to increase the yield of a device, based on how much memor... » read more

Thermal Floorplanning For Chips


Heat management is becoming crucial to an increasing number of chips, and it's one of a growing number of interconnected factors that must be considered throughout the entire development flow. At the same time, design requirements are exacerbating thermal problems. Those designs either have to increase margins or become more intelligent about the way heat is generated, distributed, and dissi... » read more

Power, Performance — Avionics Designers Want It All


Not long ago, the prevailing philosophy among chip designers for aviation systems could be summed up as, “I feel the need — the need for speed.” Today, aviation’s top guns have pulled back on the throttle a bit. There’s a more nuanced discussion balancing the need for performance versus power, with other factors coming into consideration such as safety, security certifications and ove... » read more

Customizing Chips For Power And Performance


Sandro Cerato, senior vice president and CTO of the Power & Sensor Systems Business Unit at Infineon Technologies, sat down with Semiconductor Engineering to talk about fundamental shifts in chip design with the rollout of the edge, AI, and more customized solutions. What follows are excerpts of that conversation. SE: The chip market is starting to fall into three distinct buckets, the e... » read more

There’s More To Machine Learning Than CNNs


Neural networks – and convolutional neural networks (CNNs) in particular – have received an abundance of attention over the last few years, but they're not the only useful machine-learning structures. There are numerous other ways for machines to learn how to solve problems, and there is room for alternative machine-learning structures. “Neural networks can do all this really comple... » read more

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