Improving PPA With AI


AI/ML/DL is starting to show up in EDA tools for a variety of steps in the semiconductor design flow, many of them aimed at improving performance, reducing power, and speeding time to market by catching errors that humans might overlook. It's unlikely that complex SoCs, or heterogeneous integration in advanced packages, ever will be perfect at first silicon. Still, the number of common error... » read more

Software-Defined Cars


Automotive architectures are becoming increasingly software-driven, a shift that simplifies upgrades and makes it easier to add new features into vehicles. All of this is enabled by the increasing digitalization of automotive functions and features, shifting from mechanical to electrical design, and increasingly from analog to digital data. That enables OEMs to add or up-sell features years ... » read more

Hidden Impacts Of Software Updates


Over-the-air updates can reduce obsolescence over longer chip and system lifetimes, but those updates also can impact reliability, performance, and affect how various resources such as memory and various processing elements are used. The connected world is very familiar with over-the-air (OTA) updates in smart phones and computers, where the software stack — firmware, operating systems, dr... » read more

Where And When End-to-End Analytics Works


With data exploding across all manufacturing steps, the promise of leveraging it from fab to field is beginning to pay off. Engineers are beginning to connect device data across manufacturing and test steps, making it possible to more easily achieve yield and quality goals at lower cost. The key is knowing which process knob will increase yield, which failures can be detected earlier, and wh... » read more

How AI/ML Improves Fab Operations


Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

Lots Of Data, But Uncertainty About What To Do With It


Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management in heterogeneous designs, where sensors produce a flood of data, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer science at Stanford University... » read more

Building Security Into ICs From The Ground Up


Cyberattacks are becoming more frequent and more sophisticated, but they also are starting to compromise platforms that until recently were considered unbreakable. Consider blockchains, for example, which were developed as secure, distributed ledger platforms. All of them must be updated with the same data for a transaction to proceed. But earlier this year a blockchain bridge platform calle... » read more

Digitalizing Water Monitoring


Managing water resources has always been important, but that monitoring is becoming increasingly high-tech and much more useful. Rather than a spot check at the tap, or a crude measurement of water levels in a reservoir, chips are making it possible to monitor and measure water quantity and quality at the source, wherever it is stored, the spigot, and in the wastewater systems. As climate ch... » read more

Making More Reliable And More Efficient Auto ICs


Sam Geha, executive vice president of memory solutions at Infineon Technologies, sat down with Semiconductor Engineering to talk about automotive chips, supply chain issues, and integration challenges. What follows are excerpts of that conversation. SE: How do you build an automotive chip that will work in any environment? Geha: The automotive market is, of course, one of the most demand... » read more

Startup Funding: April 2022


Silicon photonics holds the potential to vastly increase bandwidth in chips and systems while reducing power use — and investors are taking note. In April, one of the largest funding rounds went to a startup developing chip-to-chip optical I/O. But that wasn't all. Photonics funding showed up in AI with a photonic Tensor core, in room-temperature quantum computing, and, of course, in lidar an... » read more

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