Bhaskar Krishnamachari, a professor at the USC Viterbi School of Engineering, and Aditya Asgaonkar -- a recent undergraduate computer science alum at BITS Pilani, India who visited and worked with Krishnamachari at USC Viterbi over several months in 2018 -- believe they have found a way to make the buying and selling of digital goods less costly, more efficient, and less vulnerable to fraud. Their proposed solution involves blockchain, 'smart contracts,' and game theory.
Instead of searching for a needle in a haystack, what if you were able to sweep the entire haystack to one side, leaving only the needle behind? That's the strategy researchers in the University of Georgia College of Engineering followed in developing a new microfluidic device that separates elusive circulating tumor cells (CTCs) from a sample of whole blood.
A Berkeley Lab-led research group is using a deep learning method known as generative adversarial networks to enhance the use of gravitational lensing in the study of dark matter.
According to Cornell researchers, social interactions are more important than language in predicting who is going to succeed at online debating. However, the most accurate model for predicting successful debaters combines information about social interactions and language, the researchers found.
When foreign powers try to interfere with the politics of another country by spreading strategic disinformation, research suggests there is no real effect on policies or the balance of power in the targeted country.
Synthetic proteins have now been created that can move in response to their environment in predictable and tunable ways. These proteins can use their movement to disrupt lipid membranes in cells. They show promise as tools for drug delivery, and might eventually rival the efficiency of virus vehicles, but without some of their drawbacks.
A paper by University of Maryland researchers just published in the journal Science Robotics introduces a new way of combining perception and motor commands using the so-called hyperdimensional computing theory, which could fundamentally alter and improve the basic artificial intelligence (AI) task of sensorimotor representation -- how agents like robots translate what they sense into what they do.
Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do -- take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.
A new way to cleanly separate out cancer cells from a blood sample enables comprehensive genetic profiling of the cancer cells, which could help doctors target tumors and monitor treatments more effectively.
Technology used in exercise and lifestyle apps may hold the key to answering that most difficult of challenges -- getting people to change their passwords and better protect their online privacy and data.