A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.
A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets.
The students and faculty submitted projects spanning several key application areas for AI.
The team will develop a secure, data-intensive network solution to effectively transport extremely high volumes of research data on and off campus.
Akshitha Sriraman works to enable hyperscale computing on high-demand web services.
Wurman and his cofounders were recognized for their invention of the Kiva system, a revolutionary warehouse order fulfillment system that uses mobile robots and control software to bring inventory shelves to workers.
Researchers carried out the first study on voter behavior with electronic assistive devices, found 93% missed incorrect ballots.
The post Not enough voters detecting ballot errors and potential hacks, study finds appeared first on Michigan Engineering News.
This round of funding strongly encourages pioneering work with the potential for major expansion.
The CSE faculty include Prof. David Fouhey, Prof. Danai Koutra, Prof. Rada Mihalcea, and Research Scientist Veronica Perez-Rosas.
Comparing graphs the team’s tool is up to an order of magnitude faster than competitive baselines.
The proposal provides a chip-level safeguard against sensitive data being transmitted after it’s accessed.