A Node Too Far?


Physics is an unforgiving master. While the semiconductor industry has been actively developing new transistor structures, new materials for interconnects and lining trenches, and new approaches to alleviate congestion at the lowest metal levels, it also has been playing an accelerating game of Whac-a-Mole. Whenever a problem pops up, the solution to that problem is never complete and more prob... » read more

Re-Imagining The GPU


John Rayfield, CTO at Imagination Technologies, sat down with Semiconductor Engineering to talk about RISC-V, AI, and computing architectures. What follows are excerpts of that conversation. SE: What your plans are for RISC-V? Rayfield: We're actively finalizing the integration of RISC-V cores into future-generation GPUs. That work has been going on for several months. Moving forward, we'... » read more

Using Big Data For Yield And Reliability


John O’Donnell, CEO of yieldHUB, talks about the importance of clean data for traceability, yield improvement and device reliability, where and how it gets cleaned, and why that needs to be accompanied by domain expertise. » read more

What’s Next With AI In Fabs?


Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Manufacturing Bits: April 21


Memristors reappear The University of Massachusetts Amherst has taken a step towards of the realization of neuromorphic computing--it has devised bio-voltage memristors based on protein nanowires. In neuromorphic computing, the idea is to bring the memory closer to the processing tasks to speed up a system. For this, the industry is attempting to replicate the brain in silicon. The goal is ... » read more

Artificial Intelligence Is Everywhere


It’s pretty hard to talk about technology today without artificial intelligence, or AI, entering into the conversation. It seems to be everywhere… and growing. Businesses are using it to operate more efficiently, it’s resulting in safer and more useful products, and it has the promise of allowing us to personalize our worlds as devices learn our preferences. The age of AI AI refers to t... » read more

Covid-19 Tech Bits: April 14


Modeling coronavirus spread Four teams of Finnish researchers have modeled the coughing spread of COVID-19 in tight indoor areas, such as grocery stores and public transportation systems, using a supercomputer and 3D visualization. “The aerosol cloud spreads outside the immediate vicinity of the coughing person and dilutes in the process," said Aalto University Assistant Professor Ville V... » read more

2.5D Architecture Answers AI Training’s Call for “All of the Above”


The impact of AI/ML grows daily impacting every industry and touching the lives of everyone. In marketing, healthcare, retail, transportation, manufacturing and more, AI/ML is a catalyst for great change. This rapid advance is powerfully illustrated by the growth in AI/ML training capabilities which have since 2012 grown by a factor of 10X every year. Today, AI/ML neural network training mod... » read more

Designing Ultra Low Power AI Processors


AI chip design is beginning to shift direction as more computing moves to the edge, adding a level of sophistication and functionality that typically was relegated to the cloud, but in a power envelope compatible with a battery. These changes leverage many existing tools, techniques and best practices for chip design. But they also are beginning to incorporate a variety of new approaches tha... » read more

Data Center Hyperscaling


As we move in to 2020 it’s clear that every sector of industry, including the semiconductor industry, will have a responsibility to address growing environmental concerns. We should be aware that as our sector underpins the growth in AI, 5G telecommunications, crypto-currency and high performance compute applications, it is predicted that by 2030 energy consumption attributable to data center... » read more

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