Research Bits: Apr. 2


Stretchy, sensitive circuits Researchers from Stanford University developed skin-like, stretchable integrated circuits capable of driving a micro-LED screen with a refresh rate of 60 Hz and detecting a braille array that is more sensitive than human fingertips. The stretchable transistors are made from semiconducting carbon nanotubes sandwiched between soft elastic electronic materials. The... » read more

The Challenges Of Working With Photonics


Experts at the Table: Semiconductor Engineering sat down to talk about where photonics is most useful — and most vulnerable — with James Pond, fellow at Ansys; Gilles Lamant, distinguished engineer at Cadence; and Mitch Heins, business development manager for photonic solutions at Synopsys. What follows are excerpts of that conversation. To view part one of this discussion, click here. ... » read more

Research Bits: March 26


Skyrmion switches Researchers from the Agency for Science, Technology and Research (A*STAR) and National University of Singapore harnessed skyrmions to build a switch that has the potential to process data faster while using significantly less energy. Skyrmions are magnetic whirls that form in very thin metal layers and can be efficiently moved between magnetic regions. Using a magnetic tun... » read more

Research Bits: Mar. 19


Superconducting loops Researchers from University of California San Diego and University of California Riverside propose using superconducting loops to store and transmit information in a method similar to the human brain. “Our brains have this remarkable gift of associative memory, which we don't really understand,” said Robert C. Dynes, professor of physics at UC San Diego and preside... » read more

Optimizing Energy At The System Level


Power is a ubiquitous concern, and it is impossible to optimize a system's energy consumption without considering the system as a whole. Tremendous strides have been made in the optimization of a hardware implementation, but that is no longer enough. The complete system must be optimized. There are far reaching implications to this, some of which are driving the path toward domain-specific c... » read more

Current And Future Challenges For An Open Chiplet Ecosystem


There are currently a variety of ways to approach chiplet systems. One is to have a closed system in which a manufacturer develops all the components in-house and is also in charge of commissioning and overseeing assembly. In this scenario, everything is coordinated within that company and no standards are required. Another is to establish open chiplet systems. This approach taps a considera... » read more

The City In The Tower: 3D ICs Transform The Electronics System Landscape


By Keith Felton and Todd Burkholder The time of 3D integrated circuits (3D ICs) is here, and they will revolutionize the semiconductor industry and effect a watershed in the nature of electronics products that can be designed and manufactured. Yet again—as with personal computers, the internet, and smart phones—our increasingly digital world will never be the same. 3D IC architectures... » read more

Verifying Hardware Security With RTL Simulation


When consumers think about security for their electronic gadgets, financial applications probably spring first to mind. Identity theft and unauthorized access to bank and investment accounts are a constant threat. But there’s more to worry about every day. Stories of webcams and smart speakers being hacked are all over the web. Users rightfully demand that device manufacturers provide a high ... » read more

Deployment Of MIPI In Ultra-Low-Power Streaming Sensors


By Mahmoud ElBanna and Brian Lenkowski Streams of data from higher-speed sensors pose throughput and latency challenges for designers. However, optimizing a design for those criteria can come at the expense of increased power consumption if not conceived and executed carefully. A device like a high-resolution, high-frame-rate home security camera in a non-wired application requiring frequent... » read more

Embrace The New!


The ResNet family of machine learning algorithms was introduced to the AI world in 2015. A slew of variations was rapidly discovered that at the time pushed the accuracy of ResNets close to the 80% threshold (78.57% Top 1 accuracy for ResNet-152 on ImageNet). This state-of-the-art performance at the time, coupled with the rather simple operator structure that was readily amenable to hardware ac... » read more

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