University of Michigan
Consultancy : Research : Academic
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U-M: AI Could Run Million Microbial Experiments Per Year
The University of Michigan in Ann Arbor is developing an artificial intelligence system that enables robots to conduct autonomous scientific experiments — as many as 10,000 per day — potentially boosting the pace of discovery in areas from medicine to agriculture to environmental science.
Little to no research has been conducted on roughly 90 percent of bacteria, and the amount of time and resources needed to learn even basic scientific information about them using conventional methods is daunting, Jensen says. Automated experimentation can drastically speed up these discoveries.
Automation Alley Invests in U-M Spinoff Software Company Ulendo
Automation Alley’s Industry 4.0 Accelerator in Troy was part of a $1 million seed round investment in Ulendo, a University of Michigan spinoff software services company. Ulendo creates software tools that improve the productivity and quality of manufacturing machines at a low cost. The company’s advanced software helps companies monitor, control, and improve the performance of their manufacturing process.
Michigan Electric Boat Propels the Naval Industry with Cadence CFD Tools, Including Fine Marine
Calculating the best shapes for things to come
Maximizing the performance and efficiency of structures—everything from bridges to computer components—can be achieved by design with a new algorithm developed by researchers at the University of Michigan and Northeastern University. It’s an advancement likely to benefit a host of industries where costly and time-consuming trial-and-error testing is necessary to determine the optimal design. As an example, look at the current U.S. infrastructure challenge—a looming $2.5 trillion backlog that will need to be addressed with taxpayer dollars.