tag: UCLA

Manufacturing Bits: April 3
By Mark LaPedus - 03 Apr, 2018 - Comments: 0

World's brightest accelerator Japan’s High Energy Accelerator Research Organization (KEK) is readying what is considered the world’s most luminous or brightest particle accelerator. The system, dubbed the SuperKEKB, combines an electron-positron collider with a new and advanced detector. The storage ring system is designed to explore and measure rare decays of elementary particles, such... » read more

System Bits: Dec. 12
By Ann Mutschler - 12 Dec, 2017 - Comments: 0

Increasing performance scaling with packageless processors Demand for increasing performance is far outpacing the capability of traditional methods for performance scaling. Disruptive solutions are needed to advance beyond incremental improvements. Traditionally, processors reside inside packages to enable PCB-based integration. However, a team of researchers from the Department of Electrical ... » read more

Get Ready For In-Mold Electronics
By Jeff Dorsch - 11 Sep, 2017 - Comments: 1

Imagine inserting the electronics into a product without using a printed circuit board, a module, or even a system-in-package. That's the promise of in-mold electronics (IME), a technology that has been around for years, but which is just beginning to see wider adoption. The technology is related to conductive inks and transparent conductive films. The IME manufacturing process is said to pr... » read more

Manufacturing Bits: Aug. 15
By Mark LaPedus - 15 Aug, 2017 - Comments: 0

Self-collapse lithography The University of California at Los Angeles (UCLA) has developed a technology called self-collapse lithography. The technology, reported in the journal Nano Letters, resembles the combination of nanoimprint, selective removal and a chemical lift-off process. More specifically, though, the technology provides insights into patterning using a chemical lift-off lith... » read more

System Bits: Aug. 1
By Linda Christensen - 01 Aug, 2017 - Comments: 0

Quantum Computing Takes A Step Forward UCLA physicists have developed a technique for measuring and controlling the energy differences of electron valley states in silicon quantum dots, which they view as a key component of quantum computing. Joshua Schoenfield, a UCLA graduate student and one of the paper's authors, explained that "an individual qubit can exist in a complex wave-like m... » read more

Power/Performance Bits: May 23
By Jesse Allen - 23 May, 2017 - Comments: 0

Biosupercapacitor Researchers from UCLA and the University of Connecticut designed a biological supercapacitor, a new biofriendly energy storage system which operates using ions from fluids in the human body. The device is harmless to the body's biological systems, say the researchers, and could lead to longer-lasting cardiac pacemakers and other implantable medical devices. The supercapa... » read more

System Bits: Dec. 6
By Ann Mutschler - 06 Dec, 2016 - Comments: 0

Teaching computers to read A multidisciplinary team of UCLA researchers has built a computational model that reflects how humans think and communicate, by designing an algorithm that examined nearly two million posts from popular parenting websites, thereby teaching computers to understand structured narratives within the flow of posts on the internet. Managing large-scale data in this way ... » read more

Making 2.5D, Fan-Outs Cheaper
By Ed Sperling - 17 Nov, 2016 - Comments: 2

Now that it has been shown to work, the race is on to make advanced [getkc id="27" kc_name="packaging"] more affordable. While device scaling could continue for another decade or more, the number of companies that can afford to develop SoCs at the leading edge will continue to decline. The question now being addressed is what can supplant it, supplement it, or redefine it. At the center o... » read more

System Bits: Nov. 8
By Ann Mutschler - 08 Nov, 2016 - Comments: 0

Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

System Bits: Sept. 27
By Ann Mutschler - 27 Sep, 2016 - Comments: 0

Memory management scheme accommodates commercial chips In an improvement to a memory management scheme presented last year in which MIT Computer Science and Artificial Intelligence Laboratory researchers unveiled what they said was a fundamentally new way of managing memory on computer chips — one that would use circuit space much more efficiently as chips continue to comprise more and more... » read more

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