tag: UC Santa Barbara

Chip Industry’s Technical Paper Roundup: Dec. 20
By Linda Christensen - 20 Dec, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=71 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us po... » read more

GaN ICs Wanted for Power, EV Markets
By Katherine Derbyshire - 17 Mar, 2022 - Comments: 0

Circuits built with discrete GaN components may get the job done, but fully integrated GaN circuits remain the ultimate goal because they would offer many of the same advantages as integrated silicon circuits. These benefits include lower cost as the circuit footprint is scaled, and reduced parasitic resistance and capacitance with shorter interconnect runs. In addition, improved device perf... » read more

The Chip Industry’s Next-Gen Roadmap
By Mark LaPedus - 21 Jan, 2021 - Comments: 1

Todd Younkin, the new president and chief executive of the Semiconductor Research Corp. (SRC), sat down with Semiconductor Engineering to talk about engineering careers, R&D trends and what’s ahead for chip technologies over the next decade. What follows are excerpts of that conversation. SE: As a U.S.-based chip consortium, what is SRC's charter? Younkin: The Semiconductor Research... » read more

Revving Up For Edge Computing
By Ed Sperling - 07 Nov, 2019 - Comments: 1

The edge is beginning to take shape as a way of limiting the amount of data that needs to be pushed up to the cloud for processing, setting the stage for a massive shift in compute architectures and a race among chipmakers for a stake in a new and highly lucrative market. So far, it's not clear which architectures will win, or how and where data will be partitioned between what needs to be p... » read more

System Bits: Oct. 23
By Ann Mutschler - 23 Oct, 2018 - Comments: 0

Adapting machine learning for use in scientific research To better tailor machine learning for effective use in scientific research, the U.S. Department of Energy has awarded a collaborative grant to a group of researchers, including UC Santa Barbara mathematician Paul Atzberger, to establish a new data science research center. According to UCSB, the Physics-Informed Learning Machines for M... » read more

System Bits: Oct. 9
By Ann Mutschler - 09 Oct, 2018 - Comments: 0

Sensing with light pulses In a development expected to be useful in applications including distance measurement, molecular fingerprinting and ultrafast sampling, EPFL researchers have found a way to implement an optical sensing system by using spatial multiplexing, a technique originally developed in optical-fiber communication, which produces three independent streams of ultrashort optical pu... » read more

The Growing Materials Challenge
By Katherine Derbyshire - 11 Jun, 2018 - Comments: 0

By Katherine Derbyshire & Ed Sperling Materials have emerged as a growing challenge across the semiconductor supply chain, as chips continue to scale, or as they are utilized in new devices such as sensors for AI or machine learning systems. Engineered materials are no longer optional at advanced nodes. They are now a requirement, and the amount of new material content in chips contin... » read more

System Bits: May 8
By Ann Mutschler - 08 May, 2018 - Comments: 0

Unlocking the brain Stanford University researchers recently reminded that for years, the people developing artificial intelligence drew inspiration from what was known about the human brain, and now AI is starting to return the favor: while not explicitly designed to do so, certain AI systems seem to mimic our brains’ inner workings more closely than previously thought. [caption id="attach... » read more

System Bits: April 3
By Ann Mutschler - 03 Apr, 2018 - Comments: 0

Investigating the human brain for quantum computation potential While much has been made of quantum computing processes using ultracold atoms and ions, superconducting junctions and defects in diamonds, researchers are questioning if this could be performed in human brains. In fact, UC Santa Barbara theoretical physicist Matthew Fisher has been asking this question for years. And now as scient... » read more

Applying Machine Learning To Chips
By Ann Mutschler - 22 Mar, 2018 - Comments: 0

The race is on to figure out how to apply analytics, data mining and machine learning across a wide swath of market segments and applications, and nowhere is this more evident than in semiconductor design and manufacturing. The key with ML/DL/AI is understanding how devices react to real events and stimuli, and how future devices can be optimized. That requires sifting through an expandi... » read more

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