In the last few years a number of start-up companies have announced massively parallel processors for embedded DSP applications. With their arrays of processing elements, these processors target ...

AI and machine-learning techniques have become a major focus of everything from cloud computing services to cell phone manufacturers. Unfortunately, our existing processors are a bad match for the ...

Time is money in electronics, as in other industries, and the more time that is invested in testing chips means more costs being added to the product in question. To speed up testing for memory ...

The current standard methodology in forensic DNA typing relies on amplification of short tandem repeat (STR) markers by the polymerase chain reaction (PCR) and allele sizes (i.e., length-based) ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that are preserved or cannot be dissociated, but it does not provide high throughput. Here, we develop DroNc-seq: massively parallel ...

In-design verification is needed to shorten design cycles and maximize circuit performance, ensuring physical designs are correct by construction. Physical verification often forces a decision between ...

The challenges for the industrial production of medicinal products are substantial. For biologics in particular, the process defines the product. As with any process, a series of units of operation ...