Scaling Up Compute-In-Memory Accelerators


Researchers are zeroing in on new architectures to boost performance by limiting the movement of data in a device, but this is proving to be much harder than it appears. The argument for memory-based computation is familiar by now. Many important computational workloads involve repetitive operations on large datasets. Moving data from memory to the processing unit and back — the so-called ... » read more

Challenges In Printed And Disposable Chips


Printing inexpensive chips using technology developed for newspapers and magazines is gaining traction across a wide range of applications, from photovoltaic cells to sensors on a flexible substrate. But it's also adding a slew of new challenges that are unique to this approach. The world of flexible hybrid electronics (FHE) — printing integrated circuits on or attaching thin IC chips to a... » read more

Stacking Memory On Logic, Take Two


True 3D-ICs, where a memory die is stacked on top of a logic die using through-silicon vias, appear to be gaining momentum. There are a couple reasons why this is happening, and a handful of issues that need to be considered before even seriously considering this option. None of this is easy. On a scale of 1 to 10, this ranks somewhere around 9.99, in part because the EDA tools needed to rem... » read more

System Bits: Sept. 17


Quantum computing R&D in Germany IBM is teaming with the Fraunhofer Society for research and development of quantum computing technology, backed by the German government, which is providing €650 million (about $715.4 million) in funding over two years for the program. IBM has agreed to install a Q System One system at one of its facilities in Germany for the program. The system has 20... » read more

System Bits: Aug. 5


Algorithm could advance quantum computing Scientists at the Los Alamos National Laboratory report the development of a quantum computing algorithm that promises to provide a better understanding of the quantum-to-classical transition, enabling model systems for biological proteins and other advanced applications. “The quantum-to-classical transition occurs when you add more and more parti... » read more

System Bits: July 30


A camera that sees around corners Researchers at Stanford University developed a camera system that can detect moving objects around a corner, looking at single particles of light reflected on a wall. “People talk about building a camera that can see as well as humans for applications such as autonomous cars and robots, but we want to build systems that go well beyond that,” said Gordon... » read more

System Bits: July 10


Light waves run on silicon-based chips Researchers at the University of Sydney’s Nano Institute and Singapore University of Technology and Design collaborated on manipulating light waves on silicon-based microchips to keep coherent data as it travels thousands of miles on fiber-optic cables. Such waves—whether a tsunami or a photonic packet of information—are known as solitons. The... » read more

System Bits: June 10


SlothBot swings through the trees, slowly A robot that doesn’t often move, spending its days, weeks, months, in the forest canopy, monitoring the local environment – that’s SlothBot, from the Georgia Institute of Technology. The robot has two photovoltaic solar panels for its power source. It is designed to stay in the trees for months at a time. It’s gone through trials on the Geor... » read more

The Limits Of Energy Harvesting


Energy harvesting, once considered an inexpensive alternative to low-power design and a way of achieving nearly unlimited power in mobile devices, has settled down to more modest expectations. This approach to generating energy through a variety of means—from solar to motion to ambient RF and even pH differences between soil and trees—has been proven to work. The problem is that it doesn... » read more

System Bits: Feb. 11


Modeling computer vision on human vision University of Michigan scientists used digital foveation technology to render images that are more comprehensible to machine vision systems, while also reducing energy consumption by 80%. The effect is achieved by manipulating a camera’s firmware. “It'll make new things and things that were infeasible before, practical,” Professor Robert Dick s... » read more

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