System Bits: Nov. 13


Deep learning device identifies airborne allergens To identify and measure airborne biological particles, or bioaerosols, that originate from living organisms such as plants or fungi, UCLA researchers have invented a portable device that uses holograms and machine learning. The device is trained to recognize five common allergens — pollen from Bermuda grass, oak, ragweed and spores from t... » read more

Low-Latency Image Acquisition And Processing With A Programmable Vision-System-On-Chip


This work aims to demonstrate the benefits of using a Vision-System-on-Chip for image processing tasks with very high latency demands between image acquisition and processing. By leveraging a column-parallel, mixed-signal data path, which is entirely software-defined by three application-specific instruction- set processors (ASIPs), image data within multiple regions of interest can be analyzed... » read more

Manufacturing Bits: Sept. 30


Muscle-on-a-chip Harvard University has developed a human airway muscle-on-a-chip as a means to test new drugs for the treatment of asthma. There is an urgent need for a new breakthrough in this arena. The majority of drugs used to treat asthma have not changed in 50 years, according to researchers at Harvard. Asthma affects nearly 25 million people in the United States alone. Asthma, ac... » read more

Manufacturing Bits: Sept. 23


The annual IEEE International Electron Devices Meeting (IEDM) will take place in San Francisco from Dec. 15-17. As usual, there will be presentations on the latest technologies in a number of fields, such as semiconductors, bio‐sensors, energy harvesting, power devices, sensors, magnetics, spintronics, two-dimensional electronics, among others. Here’s just some of the papers that will be pr... » read more