System Bits: Oct. 23


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


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 & 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


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


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


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

Materials For Future Electronics


Examining the research underway in electronics materials provides a keyhole view into what may be possible in future electronics design. Although some of this research will not end up in commercial products, it does provide an indication of the kinds of problems that are being addressed, how they are being approached, and where the research dollars are being spent. Flexible electronics are a... » read more

Manufacturing Bits: Feb. 7


The University of California at Santa Barbara claims to have developed the world’s smallest hammer. The technology, dubbed the μHammer or microHammer, is geared for biomedical research. With funding from the National Science Foundation (NSF), the tiny hammer will allow researchers to get a cellular-level understanding when force is applied to brain cells. The project is part of the U.S.-b... » read more

Power/Performance Bits: Nov. 8


Scrap metal batteries A research team at Vanderbilt University used scraps of steel and brass - two of the most commonly discarded materials - to create a steel-brass battery that can store energy at levels comparable to lead-acid batteries while charging and discharging at rates comparable to ultra-fast charging supercapacitors. The researchers found that when scraps of steel and brass a... » read more

Silicon Photonics Comes Into Focus


Silicon photonics is attracting growing attention and investment as a companion technology to copper wiring inside of data centers, raising new questions about what comes next and when. Light has always been the ultimate standard for speed. It requires less energy to move large quantities of data, generates less heat than electricity, and it can work equally well over long or short distances... » read more

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