System Bits: Dec. 19


Controlling qubits for quantum computing In a major step toward making a quantum computer using everyday materials, a team led by researchers at Princeton University has reported they’ve constructed a key piece of silicon hardware capable of controlling quantum behavior between two electrons with extremely high precision. The team said they have constructed a gate that controls interactio... » read more

The Week In Review: IoT


Finance Dublin-based Cubic Telecom has taken in €40 million (about $47.6 million) in Series C funding, bringing its total funding to €75 million (around $89.25 million). Audi Electronics Venture and Qualcomm are existing investors participating in the new round of funding, joined by new investors Ireland Strategic Investment Fund and Valid Soluciones Tecnologicas SAU. Cubic will use the mo... » 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

Memory Model Verification at the Trisection of Software, Hardware, and ISA (Princeton)


Source: Princeton University, Caroline Trippel, Yatin A. Manerkar, Daniel Lustig*, Michael Pellauer*, Margaret Martonosi *NVIDIA Princeton University researchers have discovered a series of errors in the RISC-V instruction specification that now are leading to changes in the new system, which seeks to facilitate open-source design for computer chips. In testing a technique they created for... » read more

System Bits: April 18


RISC-V errors Princeton University researchers have discovered a series of errors in the RISC-V instruction specification that now are leading to changes in the new system, which seeks to facilitate open-source design for computer chips. In testing a technique they created for analyzing computer memory use, the team found over 100 errors involving incorrect orderings in the storage and retr... » read more

Power/Performance Bits: Jan. 24


Printable circuits with silver nanowires Scientists at Duke University compared the conductivity of films made from different shapes of silver nanostructures and found that electrons move through films made of silver nanowires much easier than films made from other shapes, like nanospheres or microflakes. In fact, electrons flowed so easily through the nanowire films that they could function... » read more

Power/Performance Bits: Aug. 30


Scalable data center chip Princeton University researchers designed a new scalable chip specifically for data centers and massive computing systems. The team believes the chip, called Piton, can substantially increase processing speed while slashing energy needs. The chip architecture is scalable; designs can be built that go from a dozen cores to several thousand. Also, the architecture ... » read more

Manufacturing Bits: Jan. 12


World’s smallest magnet The University of Tokyo has developed what researchers claim is the world's smallest nano-magnet. The nano-size ferrite magnet consists of iron oxide. With the material, researches devised a 7.5nm structure with magnetic properties. [caption id="attachment_24751" align="alignleft" width="300"] Charting the world's smallest magnet (Source: Shin-ichi Ohkoshi)[/ca... » read more

Power/Performance Bits: Jan. 5


A foggy consortium Scientists at Princeton University, ARM, Cisco, Dell, Intel, and Microsoft formed a global effort to develop architectures and tools to further "fog computing" and networks, which aim to harness connected devices' own computing, sensing and storage power to form edge networks that meet most of the demand of user devices that are at the periphery of a more centralized netwo... » read more

System Bits: Dec. 1


Extracting the right information in large data sets When solving complex scientific problems, researchers sometimes encounter what is called the curse of dimensionality, that is, they have so much data that they cannot efficiently analyze it. Large data sets can also be expensive and time consuming to acquire, so it is critical to gather only what is necessary. To this end, University of Il... » read more

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