System Bits: Aug. 1


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: Aug. 1


Concentrating photovoltaics Engineers at Penn State University and the University of Illinois at Urbana-Champaign tested a new concentrating photovoltaic solar system, which they say can produce over 50% more energy per day than standard silicon solar cells. In contrast to silicon solar panels, which currently dominate the market at 15 to 20 percent efficiency, concentrating photovoltaics (... » read more

Manufacturing Bits: July 25


Metrology for the intelligence community The semiconductor industry continues to move full speed ahead with traditional chip scaling. There are several challenges in the arena. One of the big but lessor known challenges is metrology. Metrology, the science of characterizing and measuring films and structures, is becoming more complex, challenging and expensive at each node. Looking to solv... » read more

Power/Performance Bits: July 25


Sodium-ion cathode Researchers at the University of Texas at Dallas and Seoul National University developed a manganese and sodium-ion-based cathode material they hope could lead to lower-cost rechargeable batteries. In a typical lithium-ion battery, the cathode is made of lithium, cobalt, nickel and oxygen. "Lithium is a more expensive, limited resource that must be mined from just a fe... » read more

System Bits: July 25


The language of glove In a development that allows the gestures in American Sign Language to be decoded, University of California San Diego researchers have developed a smart glove that also has application in virtual and augmented reality to telesurgery, technical training and defense. [caption id="attachment_232228" align="alignnone" width="300"] "The Language of Glove": a smart glove that ... » read more

Manufacturing Bits: July 18


Brain microscopes Rice University is developing a tiny and flat microscope for a special application--it will be able to decode and trigger neurons on the surface of the brain. The microscope technology, dubbed FlatScope, is part of a $65 million program announced by the U.S.-based Defense Advanced Research Projects Agency (DARPA). The DARPA project, dubbed Neural Engineering System Design ... » read more

System Bits: July 18


Melanoma predicted from images with a high degree of accuracy by neural network model The poke and punch of traditional melanoma biopsies could be avoided in the near future, thanks to work by UC Santa Barbara researchers. UCSB undergrad Abhishek Bhattacharya is using the power of artificial intelligence to help people ascertain whether that new and strange mark is, in fact, the deadly skin... » read more

Power/Performance Bits: July 18


Ad hoc "cache hierarchies" Researchers at MIT and Carnegie Mellon University designed a system that reallocates cache access on the fly, to create new "cache hierarchies" tailored to the needs of particular programs. Dubbed Jenga, the system distinguishes between the physical locations of the separate memory banks that make up the shared cache. For each core, Jenga knows how long it would t... » read more

Manufacturing Bits: July 11


China’s storage ring for EUV A group of researchers are banding together to propel the development of a storage ring technology that may one day be used as a power source for extreme ultraviolet (EUV) lithography. The collaboration includes five institutions. Researchers have organized an informal collaboration or study group with plans to develop a storage ring for EUV based on a techno... » read more

Power/Performance Bits: July 11


3D chip integrates computing, storage Researchers at Stanford University and MIT developed a prototype 3D chip that integrates computation and data storage, based on carbon nanotubes and resistive RAM (RRAM) cells. The researchers integrated over 1 million RRAM cells and 2 million carbon nanotube FETs, making what the team says is the most complex nanoelectronic system ever made with emergi... » read more

← Older posts Newer posts →