With an $18 million fund grant from the U.S. Department of Defense, Clemson University’s International Center for Automotive Research is set to create self-driving military vehicles. The fund is also inclusive of a new center, The Virtual Prototyping of Ground Systems Center, which will be used to develop virtual prototyping tools supporting the rapid transmission of U.S. fleets.
Scientist Nikolaos Koutsouleris has spearheaded a study that combines psychiatric assessments with machine-learning models that analyze clinical and biological data. He claims that algorithmic pattern recognition can make very accurate predictions about positive disease outcomes. Results of this recent study from the Max Planck Institute of Psychiatry has shown that it is the combination of artificial and human intelligence that optimizes the prediction of mental illness which practitioners can identify at an early stage.
AI or not, it is no more than a little amusing to watch a robotic car make an unforced error of wrecking walls on a racetrack. On a recent unmanned test, a self-driving Roborace car illustrates the challenges of putting AI on a real racing circuit, and fails miserably. Unlike road-oriented driverless cars, racers have to routinely navigate at high speeds where there’s less time to make decisions and react to hazards.
Source: https://www.engadget.com/roborace-self-driving-race-car-drives-into-wall-142758048.html
Ayumu Yamashita of Advanced Telecommunications Research Institutes International in Kyoto, Japan has presented research that used machine learning to identify different brain activities in people with major depressive disorder. This new data could be used to provide better diagnoses and create more tailored treatment plants. Researchers hope to continue the use of machine learning in this field to analyze other concerns.
Source: https://medicalxpress.com/news/2020-12-machine-brain-network-signature-major.html
Tecton has announced the general availability of their enterprise feature store for machine learning. “We use ML applications to support a variety of use cases in Credit Decisioning, Cash Flow Insights, Fraud Detection and Business Admin,” commented the Director of Data Science and Analytics from a startup. Other users have noted that Tecton has allowed them to integrate machine learning into their customer service, providing better experiences with shorter wait times.
