The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
AI’s growing use in investigations raises new legal challenges, from verifying evidence authenticity to constitutional rights ...
Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Stop spam texts with built-in Google Messages features most Android users miss. Learn six powerful spam blocking tools ...
An internationally recognized research leader in computational intelligence, machine learning, data fusion and signal ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Abstract: Inference capabilities of machine learning (ML) systems skyrocketed in recent years, now playing a pivotal role in various aspect of society. The goal in statistical learning is to use data ...
Abstract: Recent years have experienced phenomenal growth in computer-aided diagnosis systems based on machine learning algorithms for anomaly detection tasks in the medical image domain. However, the ...
But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...
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