Research used data mining tools combat covid 19 misinformation

Computer scientists at UC Riverside are working on tools to assist track and monitor COVID-19 symptoms, as well as sort through disinformation about the condition on social media. Using Google Trends data, a team led by Vagelis Papalexakis, an associate professor in the Marlan and Rosemary Bourns College of Engineering, and Jia Chen, an assistant professor of teaching, created an algorithm that identified three COVID-19 symptoms that were distinct from the flu: Ageusia (loss of taste function of the tongue), shortness of breath, and anosmia (loss of smell) are all…

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AI technique to transform stained tissue into special stains : New research

UCLA researchers created a deep learning-based approach that may be used to reduce the requirement for human histotechnologists to generate unique stains by computationally converting existing pictures of H&E stained tissue into special stains. This AI-based technique was demonstrated by generating a full panel of special stains used for kidney tissue, namely Periodic acid–Schiff (PAS), Jones silver stain, and Masson’s Trichrome; all of these special stains were computationally transformed from existing images of H&E stained tissue biopsies using specialised deep neural networks. The researchers used this panel of unique stains…

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An algorithm that helps drones to fly around obstacles: New research update

The world has to be ready to witness faster-flying drones, says a team of researchers at MIT after they devised an algorithm that helps drones find the fastest route around obstacles without crashing. It combines the simulations of drones flying in a virtual space and the data from examinations of a real drone flying through the same course in a real space. The new algorithm trains the drone to fly through obstacles at a speed of 20 percent faster than the conventional one. “At high speeds, there is intricate aerodynamics…

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