Less than half of all U.S. adults have access to prime credit because of their credit score. But new LSU and Harvard University research shows a lot more people could become eligible if lenders use artificial intelligence, or AI, and alternative data, such as education and employment history. Smarter underwriting algorithms would especially benefit recent college graduates and young people with short credit histories as well as people with low or no credit scores.
BASF, the largest chemical producer in the world, is collaborating with LSU chemical engineers to better understand and predict its own production ebbs and flows using artificial intelligence, or AI.
The LSU-developed tool to predict storm surge and flooding during severe weather events has become an essential resource for thousands of emergency managers and first responders in Louisiana and the nation’s coastal states to help protect people and infrastructure.
LSU cybersecurity researchers are developing a new tool, called HookTracer, to speed up cybercrime investigations using AI.
Researchers at LSU Health Shreveport and LSU Shreveport Use AI to Better Understand and Treat Brain Tumors
Medical doctors are collaborating with computer scientists to improve care for patients with cavernous malformations, some of the most difficult-to-treat tumors in the head and spine.
Through a partnership with Capital Area Human Services District, one of Louisiana’s largest behavioral health providers, LSU leverages AI technology to catch early warning signs of serious mental illness and improve treatment.
LSU biologist Daijiang Li is building the first worldwide database on plant phenology, or the study of the timing of plant life cycles, which will be called Phenobase.
LSU researchers are using artificial intelligence, or AI, to effectively predict individual responses to different diets. LSU’s Pennington Biomedical Research Center recently partnered with LSU Health New Orleans to leverage new technologies in the fight against the obesity epidemic and health disparities in Louisiana by joining the largest-ever national effort to leverage big data science for precision health.
One of Louisiana’s most prominent researchers, Dr. Steven Heymsfield at LSU’s Pennington Biomedical Research Center was tapped by Amazon to improve the body composition component of their Halo app using smartphone photography and AI.
LSU of Alexandria Increases Access to STEM Careers Through Robotics and Support of Surrounding Schools
Through robotics and community outreach to elementary, middle and high schools in central Louisiana, LSU of Alexandria, or LSUA, is increasing access to careers in science, technology, engineering and math, or STEM, for a growing number of students, including at underserved schools. For many, robotics is their first experience with machine learning and AI.
LSU researchers have built a cancer drug discovery engine powered by AI that soon could match any type of cancer, based on a small cell sample from a patient, with the drug most likely to cure that cancer.
Seeing a world increasing its reliance on artificial intelligence, or AI, LSU Ph.D. candidate Zita Hüsing decided to take a closer look at AI through fiction. Using the fictional androids seen in the movie “Blade Runner,” Hüsing is examining how AI plays a part in American labor and capitalism, and its impact on disability, race and gender.
Skymount Medical Wins Silver Stevie Award for Its LSU-Developed DeepDrug™ Artificial Intelligence Platform to Accelerate Drug Discovery
Skymount Medical, a drug discovery company using an artificial intelligence platform developed by LSU researchers to repurpose and build new drugs for innovative new therapies, announced today that its DeepDrug™ AI platform to accelerate drug discovery has garnered a Silver Stevie Award in the Artificial Intelligence/Machine Learning Solution category of the 20th Annual American Business Awards. This recognition further positions DeepDrug™ as a global leader in artificial intelligence.
Deborah Goldgaber, director of the LSU Ethics Institute and associate professor in the Department of Philosophy & Religious Studies, has received a $103,900 departmental enhancement grant from the Louisiana Board of Regents to begin to reshape LSU’s science, technology, engineering, and math curriculum around ethics and human values.
Underwater exploration is becoming more common these days thanks to subaqueous vehicles that have capabilities to photograph and collect data at deeper depths and for longer periods of time. These vehicles require the best imaging devices, research that LSU Engineering professors Jinwei Ye and Corina Barbalata are working on thanks to a three-year $499,496 National Science Foundation grant.
Artificial intelligence and machine learning technologies play an increasing role in our society today, including in high-stakes decision-making systems like lending decisions, employment screenings, and criminal justice sentencing.
LSU Computer Science Assistant Professor Chen Wang believes he may have the answer. Specifically, he is working with third-year PhD student Long Huang on a gripping-hand verification method that ensures the correct user is holding the smartphone before displaying potentially sensitive content.
Skymount Medical, a drug discovery company using an AI platform developed by LSU researchers to repurpose and build new drugs, announced today that it has received approval from the United Kingdom’s MHRA to conduct a human clinical trial of its new oral therapeutic for COVID-19 patients.
LSU Electrical and Computer Engineering Associate Professor Shahab Mehraeen is serving as a co-principal investigator that will focus on developing a smart grid capable of operating itself during a hard freeze or natural disaster. The team will use artificial intelligence and neural networks, essentially creating a “decision-making machine.”
With the aid of artificial intelligence and machine learning techniques, LSU School of Electrical Engineering & Computer Science Adjunct Professor Hartmut Kaiser is working to improve their flood preparedness and mitigation capabilities.
U.S. Clinical Trials Begin for COVID-19 Oral Therapeutics Discovered Using LSU-Developed Artificial Intelligence
First patient study in North America to investigate a new combination of two previously FDA-approved drugs identified as effective against COVID-19 by DeepDrug, an artificial intelligence platform developed by Louisiana State University (LSU) researchers.
U.S. Department of Energy Invests $1.5M in LSU and Penn State Researchers Who Think So
Human Studies Start for Promising COVID-19 Treatment Discovered by LSU DeepDrug Team Using Artificial Intelligence
New combination of already FDA-approved compounds can prevent extreme and lasting symptoms, cut hospitalizations.
Going the Distance: Innovation in Radiation Research Takes LSU Medical Physics Student from Mary Bird Perkins Cancer Center to SpaceX
Jared Taylor was planning on becoming a medical doctor to help treat people with cancer, but now finds himself almost literally in space, working on solutions to shield astronauts from dangerous radiation. He recently presented his research at SpaceX and is about to file a patent.
LSU Innovation in Fuel Cell Technology for Electric Cars and Trucks Draws Interest from General Motors, Brings Toyota to Campus
Higher power densities could transform future, green travel—including by air—and Louisiana is poised to lead in zero-carbon and low-carbon chemical fuel manufacturing.
Farmers across Louisiana rely on LSU AgCenter’s cutting-edge research and technological advances in what’s now called precision agriculture—using remote sensing, machine learning, and big data on farms—to get bigger yields and larger profits while protecting the environment for future generations. But some just call it work.
The LSU STE||AR Group, which develops high-performance computing solutions and is housed in the Center for Computation & Technology (CCT), has been invited to host a panel about their work and the future of the field at the world’s premiere supercomputing conference, SC20. For the first time, the eleven-day conference will take place virtually, due to COVID-19, this November.
Artificial intelligence software developed by an interdisciplinary team of LSU researchers could shorten the time for drug development from 15 years to 15 days; save lives, reduce symptoms.
The LSU DeepDrug team, a current semifinalist for the IBM Watson AI X-PRIZE, is using artificial intelligence, or AI, to discover new drugs. Although their work so far has focused mainly on antibiotics and antimicrobials, they are now working as quickly as they can to find new antivirals effective against coronavirus. The team is in the process of retraining their AI by feeding it large datasets of information and asking it questions—some with known answers—to see how well it is learning. Within days, they hope to have their AI begin suggesting new drugs, or drug combinations, to help save lives.
Michal Brylinski, associate professor in the LSU Department of Biological Sciences with a joint appointment at the Center for Computation & Technology, uses artificial intelligence and complex algorithms on large biological datasets to design and discover new drugs. As a member of LSU’s Deep Drug team, he’s a current semifinalist for the $5M IBM Watson AI XPRIZE. His career path, however, has been a bit kręci się, as you’d say in his native Polish, meaning squiggly.
People and pharmaceutical companies around the world are increasingly challenged by antibiotic-resistant bacteria as well as new and rapidly evolving pathogens. The discovery of new drugs, meanwhile, can be a slow and costly process as companies must make sure their drugs are both effective and safe. I
Harnessing a Tweet Storm: Using Fairness-aware Artificial Intelligence and Social Media to Improve Hurricane Resilience, and More
Mingxuan Sun, assistant professor in the LSU Division of Computer Science and Engineering, is developing fairness-aware artificial intelligence and machine learning models using Twitter and other data to improve search and rescue efforts and enhance community disaster resilience during hurricanes, earthquakes, floods, and fires thanks to a $300,000 NSF EAGER grant