Using AI In Chip Manufacturing


David Fried, CTO at Coventor, a Lam Research Company, sat down with Semiconductor Engineering to talk about how AI and Big Data techniques will be used to improve yield and quality in chip manufacturing. What follows are excerpts of that conversation. SE: We used to think about manufacturing data in terms of outliers, but as tolerances become tighter at each new node that data may need to b... » read more

Printed Electronics Materials


Brewer Science’s Dominic Miranda digs into printed electronics, why they’re becoming so important, what materials should be used, and how they can be targeted for specific applications in sensors and edge devices. https://youtu.be/tN2goxrDCqA » read more

Hardware Security Threat Rising


Martin Scott, senior vice president and CTO of Rambus, sat down with Semiconductor Engineering to talk about an increasing problem with security, what's driving it, and why hardware is now part of the growing attack surface. What follows are excerpts of that conversation. SE: With Meltdown and Spectre, the stakes have changed because the focus is not on using hardware to get to software. It'... » read more

Faster Verification With AI, ML


Tool providers have continually improved the performance, capacity, and memory footprint parameters of functional verification engines over the past decade. Today, although the core anchors are still formal verification, simulation, emulation, and FPGA-based prototyping, a new frontier focusing on the verification fabric itself aims to make better use of these engines including planning, alloca... » read more

On-Chip Monitoring Of FinFETs


Stephen Crosher, CEO of Moortec, sat down with Semiconductor Engineering to discuss on-chip monitoring and its impact on power, security and reliability, including predictive maintenance. What follows are excerpts of that conversation. SE: What new problems are you seeing in design? Crosher: There are challenges emerging for companies working on advanced nodes, including scaling and trans... » read more

The Role Of Cobalt In Enabling AI


We are on the cusp of the biggest computing wave yet — the AI era driven by Big Data. Enabling this era will require significant enhancements in processor performance and in the capacity and latency of memory. These requirements are coming at a time when the industry is being increasingly challenged by a slowdown in classic Moore’s Law scaling. What’s needed to continue driving the indust... » read more

The Era Of Data, By The Numbers


Standing-room only keynote speeches. A future awash in data amassed by transformative technologies and applications, with semiconductors at their core. Smart everything: Cars, medicine, manufacturing, workforce, you name it. The sheer numbers impressed as a record lineup of SEMICON West keynote speakers offered a glowing portrait of the future: The semiconductor industry stands on the cusp o... » read more

Smaller, Faster, Cheaper—But Different


The old mantra of "smaller, faster, cheaper" has migrated from the chip level to the electronic system level, raising some interesting questions about where the real value is being generated. Smaller as it pertains to gate size, line widths and spaces, will continue in an almost straight line for at least the next decade. The ability to print three-dimensional features on a nanoscale using E... » read more

Deep Learning Market Forces


Last week, eSilicon participated in a deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, we explored how our respective companies form an ecosystem to develop deep learning chips for the next generation of applications. We also had a keynote presentation on deep learning from Ty Garibay, C... » read more

Can Big Data Help Coverage Closure?


Semiconductor designs are a combination of very large numbers and very small numbers. There is a large numbers of transistors at very small sizes, and databases are often large. The chip industry has been looking at [getkc id="305" kc_name="machine learning"] to effectively manage some of this data, but so far datasets have not been properly tagged across the industry and there is a reluctan... » read more

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