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

CEO Outlook: Chip Industry 2022


Semiconductor Engineering sat down to discuss broad industry changes and how that affects chip design with Anirudh Devgan, president and CEO of Cadence; Joseph Sawicki, executive vice president of Siemens EDA; Niels Faché, vice president and general manager at Keysight; Simon Segars, advisor at Arm; and Aki Fujimura, chairman and CEO of D2S. This discussion was held in front of a live audience... » read more

Choosing Which Tasks To Optimize In Chips


The optimization of one or more tasks is an important aspect of every SoC created, but with so many options now on the table it is often unclear which is best. Just a few years ago, most people were happy to buy processors from the likes of Intel, AMD and Nvidia, and IP cores from Arm. Some even wanted the extensibility that came from IP cores like Tensilica and ARC. Then, in 2018, John Henn... » read more

The Challenges Of Incremental Verification


Verification consumes more time and resources than design, and yet little headway is being made to optimize it. The reasons are complex, and there are more questions than there are answers. For example, what is the minimum verification required to gain confidence in a design change? How can you minimize the cost of finding out that the change was bad, or that it had unintended consequences? ... » read more

Big Changes In Embedded Software


Every good hardware or software design starts with a structured approach throughout the design cycle, but as chip architectures and applications begin focusing on specific domains and include some version of AI, that structure is becoming more difficult to define. Embedded software, which in the past was written for very narrow functions with a minimal footprint, is increasingly getting blended... » read more

← Older posts Newer posts →