Text and data mining (TDM) uses statistical analysis tools to extract new knowledge from large quantities of text or data for purposes by finding patterns, discovering relationships, and analyzing semantics. It is used in a wide variety of fields from biomedical research to digital humanities. Japan has enacted laws to allow TDM research copying. These lawsuits grew out of the Google Book Search Project (GBS). GBS is a corpus of millions of digital books to improve its search technologies that Google developed after making a deal with the University of Michigan in 2004 to scan all eight million books in its library's collections. In return, Michigan got back from Google digital copies of the books it scanned.
As the medical community's understanding of the application of augmented intelligence (AI) in health care grows, there remains the question of how AI--often called artificial intelligence--should be incorporated into physician training. The term augmented intelligence is preferred because it recognizes the enhancement, rather than replacement, of human capabilities. A webinar produced by the AMA Accelerating Change in Medical Education Consortium featured a presentation by Cornelius A. James, MD, assistant professor of internal medicine and pediatrics at University of Michigan Medical School. He is also the principal investigator of "Data Augmented, Technology Assisted Medical Decision Making and Diagnosis (DATA-MD): A Novel Curriculum." James outlined the initial steps medical educators should be taking to work AI into their curricula. "Each organization or system will have their own unique barriers, but there are some barriers that are a bit more generalizable," Dr. James said.
We live in a time when it's never been easier or less expensive to sequence a plant's complete genome. But knowing all a plant's genes is not the same thing as knowing what all those genes do. Michigan State experts in plant biology and computer science plan to close that gap with the help of artificial intelligence and a new $1.4 million grant from the National Science Foundation. Ultimately, the goal is to help farmers grow crops with genes that give their plants the best chance to withstand threats such as drought and disease. To get to that point, though, researchers still need to reveal the fundamental role of many of the genes found in plants.
Apple has lost the executive in charge of its below-the-radar car project to Ford, dealing a further blow to the iPhone maker's automotive ambitions. Doug Field, Apple's vice-president of special projects, had also worked on Tesla's Model 3 vehicle under Elon Musk. Field, who rejoined Apple in 2018 after a previous stint at the business, is the fourth senior member of the company's car team to leave since February. He will become Ford's chief advanced technology and embedded systems officer with immediate effect, a critical post as the auto industry moves to adopt vehicles powered by electricity and guided by computers. This year Ford signed a six-year deal with Google that includes using Android software in the Michigan carmaker's vehicles.
East Lansing, MI (July 13, 2021) - We live in a time when it's never been easier or less expensive to sequence a plant's complete genome. But knowing all of a plant's genes is not the same thing as knowing what all those genes do. Michigan State experts in plant biology and computer science plan to close that gap with the help of artificial intelligence and a new $1.4 million grant from the National Science Foundation. Ultimately, the goal is to help farmers grow crops with genes that give their plants the best chance to withstand threats such as drought and disease. To get to that point, though, researchers still need to reveal the fundamental role of many of the genes found in plants.
ANN ARBOR – A free autonomous shuttle service is coming to Ann Arbor in October and providers are turning to the public to name one of the vehicles. The A2GO ride service is a collaboration between May Mobility, University of Michigan's Mcity and Ann Arbor SPARK and will operate around U-M's central campus, the State Street corridor and Kerrytown. May Mobility will operate a fleet of five autonomous shared vehicles, which include four hybrid-electric Lexus RH 450h cars and one Polaris GEM fully electric vehicle, which will have capacity for one wheelchair passenger. "We're looking for a creative, clever and memorable name," reads the contest page. "There's only one rule - the shuttle's name has to start with an'M'!" Name suggestions can be submitted now through Sept. 8. Voting on semifinalists will be open from Sept. 14-23 and the winning name will be announced on Oct. 11 -- the scheduled start date for the service.
A Tesla Model 3 driving on'autopilot' smacked into a Florida Highway Patrol cruiser on Saturday morning, narrowly missing the driver of the cruiser who had stopped in order to help a disabled vehicle. The incident is the 12th such smash involving a Tesla on autopilot mode and an emergency vehicle. All the cars which have been struck had their lights flashing, or had deployed an emergency flare, illuminated warning sign or cones, raising questions about whether they may have confused the Tesla's sensors. Saturday's smash happened after when the 28-year-old trooper, who has not been named, stopped shortly after 5 am on August 28 on I-4 near downtown Orlando while responding to a broken down car. He put his emergency lights and was walking over to a disabled vehicle when the Tesla hit the cruiser's left side, according to a copy of the police report seen by DailyMail.com.
When patients develop acute respiratory failure, accurately identifying the underlying etiology is essential for determining the best treatment, but it can be challenging to differentiate between common diagnoses in clinical practice. Machine learning models could improve medical diagnosis by augmenting clinical decision making and play a role in the diagnostic evaluation of patients with acute respiratory failure. While machine learning models have been developed to identify common findings on chest radiographs (e.g. pneumonia), augmenting these approaches by also analyzing clinically relevant data from the electronic health record (EHR) could aid in the diagnosis of acute respiratory failure. Machine learning models were trained to predict the cause of acute respiratory failure (pneumonia, heart failure, and/or COPD) using chest radiographs and EHR data from patients within an internal cohort using diagnoses based on physician chart review. Models were also tested on patients in an external cohort using discharge diagnosis codes. A model combining chest radiographs and EHR data outperformed models based on each modality alone for pneumonia and COPD. For pneumonia, the combined model AUROC was 0.79 (0.78-0.79), image model AUROC was 0.73 (0.72-0.75), and EHR model AUROC was 0.73 (0.70-0.76); for COPD, combined: 0.89 (0.83-0.91), image: 0.85 (0.77-0.89), and EHR: 0.80 (0.76-0.84); for heart failure, combined: 0.80 (0.77-0.84), image: 0.77 (0.71-0.81), and EHR: 0.80 (0.75-0.82). In the external cohort, performance was consistent for heart failure and COPD, but declined slightly for pneumonia. Overall, machine learning models combing chest radiographs and EHR data can accurately differentiate between common causes of acute respiratory failure. Further work is needed to determine whether these models could aid clinicians in the diagnosis of acute respiratory failure in clinical settings.
"Saints Row" began life in 2006 as a series about a small-time Michigan gang that ends up taking over the fictional city of Stilwater. "Saints Row 2" in 2008 experienced even greater success critically and commercially. The cartoonish absurdity of "Saints Row: The Third" in 2011 was an attempt to distinguish itself from the Grand Theft Auto series, which had become more focused on depicting serious crime drama. In 2013′s "Saints Row IV," the gang members become superheroes in a virtual alien world. Eventually, players become the galaxy's rulers, even conquering hell itself.
ManpowerGroup reported in 2018 that 70% of companies interviewed in a survey said that they expected a skills shortage in field service personnel over the next 10 years. Field service workers are those who travel to locations to repair goods and services onsite. Among the contributing factors were an aging (and retiring) workforce and a lack of enthusiasm among millennials for field service careers. "For large enterprises, field service must address an entire lifecycle of a product or service," said Arka Prava Dhar, CEO and founder of Zinier, which provides field service AI solutions. Field service starts with work orders, then the work is done by the field service worker, then it's either verified or forwarded to an expert, Dhar said.