Bridging IC Design, Manufacturing, And In-Field Reliability


Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management and how that can potentially glue together design, manufacturing, and devices in the field, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer sci... » read more

“Lab On The Skin” Monitors Multiple Biomarkers


New research from UC San Diego's Center For Wearable Sensors, "An integrated wearable microneedle array for the continuous monitoring of multiple biomarkers in interstitial fluid." Current continuous glucose monitors on the market like Dexcom only measure glucose. This device also monitors alcohol and lactate. “With our wearable, people can see the interplay between their glucose spikes... » read more

Digitalizing Water Monitoring


Managing water resources has always been important, but that monitoring is becoming increasingly high-tech and much more useful. Rather than a spot check at the tap, or a crude measurement of water levels in a reservoir, chips are making it possible to monitor and measure water quantity and quality at the source, wherever it is stored, the spigot, and in the wastewater systems. As climate ch... » read more

Pyrolyzed Cellulose Nanofiber Paper (CNP) Semiconductor with a 3D Network Structure


Abstract Semiconducting nanomaterials with 3D network structures exhibit various fascinating properties such as electrical conduction, high permeability, and large surface areas, which are beneficial for adsorption, separation, and sensing applications. However, research on these materials is substantially restricted by the limited trans-scalability of their structural design and tunability of... » read more

van der Waals Semiconductor Empowered Vertical Color Sensor


Abstract "Biomimetic artificial vision is receiving significant attention nowadays, particularly for the development of neuromorphic electronic devices, artificial intelligence, and microrobotics. Nevertheless, color recognition, the most critical vision function, is missed in the current research due to the difficulty of downscaling of the prevailing color sensing devices. Conventional colo... » read more

Customizable FPGA-Based Hardware Accelerator for Standard Convolution Processes Empowered with Quantization Applied to LiDAR Data


Abstract "In recent years there has been an increase in the number of research and developments in deep learning solutions for object detection applied to driverless vehicles. This application benefited from the growing trend felt in innovative perception solutions, such as LiDAR sensors. Currently, this is the preferred device to accomplish those tasks in autonomous vehicles. There is a bro... » read more

Radar For Automotive: Why Do We Need Radar?


Communications and sensing technologies have transformed the automotive industry. More and more, cars include features and systems to interact with their environment, gaining awareness of the surrounding space, networking with each other and with the infrastructure, and detecting possible sources of danger. We can consider that vehicles have acquired their own “senses”: they know where they... » read more

Seven Hardware Advances We Need to Enable The AI Revolution


The potential, positive impact AI will have on society at large is impossible to overestimate. Pervasive AI, however, remains a challenge. Training algorithms can take inordinate amounts of power, time, and computing capacity. Inference will also become more taxing with applications such as medical imaging and robotics. Applied Materials estimates that AI could consume up to 25% of global elect... » read more

Virtual Testing Of Automotive Sensor Systems


The development of vehicles has always been a discipline of mechanical engineering. After all, cars were always about the engine, the power, the efficiency. Traditionally, the development of the complex overall automotive system has always been carried out in accordance with classical principles of mechanical engineering, for example by using development models like the V-model. Although the pr... » read more

Label-Free C-Reactive Protein Si Nanowire FET Sensor Arrays With Super-Nernstian Back-Gate Operation


Abstract: "We present a CMOS-compatible double gate and label-free C-reactive protein (CRP) sensor, based on silicon on insulator (SOI) silicon nanowires arrays. We exploit a reference subtracted detection method and a super-Nernstian internal amplification given by the double gate structure. We overcome the Debye screening of charged CRP proteins in solutions using antibodies fragments as c... » read more

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