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February 4, 2021 By Deborah Borfitz February 4, 2021 | A computer scientist at The Ohio State University (OSU) recently demonstrated the potential of artificial intelligence to crunch real-world data and emulate randomized clinical trials, speeding the pace of drug repurposing. The initial use case was focused on preventing heart failure and stroke in patients with coronary artery disease, but the model could be applied to any disease with a definable outcome, says Ping Zhang, who leads the Artificial Intelligence in Medicine Lab at OSU.  Zhang is senior author of a recently pub...

Smart Algorithm Cleans Up Images By Searching For Clues Buried In Noise To enter the world of the fantastically small, the main currency is either a ray of light or electrons. Strong beams, which yield clearer images, are damaging to specimens. On the other hand, weak beams can give noisy, low-resolution images. In a new study published in  Nature Machine Intelligence, researchers at Texas A&M University describe a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. “Images taken with low-...

 E-Mail To enter the world of the fantastically small, the main currency is either a ray of light or electrons. Strong beams, which yield clearer images, are damaging to specimens. On the other hand, weak beams can give noisy, low-resolution images. In a new study published in Nature Machine Intelligence, researchers at Texas A&M University describe a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. "Images taken with low-powered beams can be noisy, which can hide interesting and valuable...

 E-Mail IMAGE: Optical flow field (blue arrows) when the drone flies straight forward. In the flight direction, the flow is smallest, making the tree in the drone's path the hardest one to... view more  Credit: MAVLab/ TU Delft If you ever saw a honeybee hopping elegantly from flower to flower or avoiding you as you passed by, you may have wondered how such a tiny insect has such perfect navigation skills. These flying insects' skills are partially explained by the concept of optical flow: they perceive the speed with which objects move through their field of view. Robotics research...

Researchers at U of T, Northwestern Use AI to Accelerate Discovery of Industrial Materials Researchers at the University of Toronto and Northwestern University are using machine learning to craft the best materials for different industrial uses. The findings, published this week in Nature Machine Intelligence, demonstrated that the use of AI can help propose novel materials for diverse applications, helping to speed up the design cycle for materials. One example is the separation of carbon dioxide from industrial combustion p...