Computers

As the Summer Olympics draw near, the world will shift its focus to photo finishes and races determined by mere fractions of a second. Obtaining such split-second measurements relies on faultlessly rounding a raw time recorded by a stopwatch or electronic timing system to a submitted time. Researchers at the University of Surrey found certain stopwatches commit rounding errors … [Read more...] about Rounding errors could make certain stopwatches pick wrong race winners, researchers show

In order to win the battle against COVID-19, studies to develop vaccines, drugs, devices and re-purposed drugs are urgently needed. Randomized clinical trials are used to provide evidence of safety and efficacy as well as to better understand this novel and evolving virus. As of July 15, more than 6,180 COVID-19 clinical trials have been registered through ClinicalTrials.gov, … [Read more...] about Novel method predicts if COVID-19 clinical trials will fail or succeed

One of the major challenges in modern cancer therapy is the adaptive response of cancer cells to targeted therapies: initially, these therapies are very often effective, then adaptive resistance occurs, allowing the tumor cells to proliferate again. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that … [Read more...] about Cancer: Information theory to fight resistance to treatments

Designing materials that have the necessary properties to fulfill specific functions is a challenge faced by researchers working in areas from catalysis to solar cells. To speed up development processes, modeling approaches can be used to predict information to guide refinements. Researchers from The University of Tokyo Institute of Industrial Science have developed a machine … [Read more...] about Projecting bond properties with machine learning

Researchers from Idaho National Laboratory and New Mexico-based Visgence Inc. have designed and demonstrated a technology that can block cyberattacks from impacting the nation's electric power grid. During a recent live demonstration at INL's Critical Infrastructure Test Range Complex, the Constrained Cyber Communication Device (C3D) was tested against a series of remote access … [Read more...] about New technology shows promise in detecting, blocking grid cyberattacks

Although photovoltaic systems constitute a promising way of harnessing solar energy, power grid managers need to accurately predict their power output to schedule generation and maintenance operations efficiently. Scientists from Incheon National University, Korea, have developed a machine learning-based approach that can more accurately estimate the output of photovoltaic … [Read more...] about Machine learning models to help photovoltaic systems find their place in the sun

Imagine you're a CEO who wants to promote an innovative new product -- a time management app or a fitness program. Should you send the product to Kim Kardashian in the hope that she'll love it and spread the word to her legions of Instagram followers? The answer would be 'yes' if successfully transmitting new ideas or behavior patterns was as simple as showing them to as many … [Read more...] about Study finds surprising source of social influence: Want to promote your new product or trigger a shift in thinking? Steer clear of the influencers

It is a scenario familiar to anyone who has driven down a crowded, narrow street. Parked cars line both sides, and there isn't enough space for vehicles traveling in both directions to pass each other. One has to duck into a gap in the parked cars or slow and pull over as far as possible for the other to squeeze by. Drivers find a way to negotiate this, but not without close … [Read more...] about New algorithm may help autonomous vehicles navigate narrow, crowded streets

Implementing algorithms that can simultaneously track multiple objects is essential to unlock many applications, from autonomous driving to advanced public surveillance. However, it is difficult for computers to discriminate between detected objects based on their appearance. Now, researchers at the Gwangju Institute of Science and Technology (GIST) have adapted deep learning … [Read more...] about Scientists adopt deep learning for multi-object tracking: Their novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks

Computer vision technology is increasingly used in areas such as automatic surveillance systems, self-driving cars, facial recognition, healthcare and social distancing tools. Users require accurate and reliable visual information to fully harness the benefits of video analytics applications but the quality of the video data is often affected by environmental factors such as … [Read more...] about Novel techniques extract more accurate data from images degraded by environmental factors