Michigan Engineering | University of Michigan The authors provide an overview of common challenges to implementing ML in a health-care setting, and describe the necessity of breaking down the silos in ML.
Taking machine-learning models in health care from concept to bedside
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Creating more efficient data centers for AI
Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.
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New browser strategy game has players tackle real-life bat catastrophe
As a fungal infection ravages bat populations, the new game hopes to promote public awareness of ongoing research to combat the issue.
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Year of growth, experiments for May Mobility
May Mobility intends to gradually acclimate the public to the experience of autonomous driving.
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DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.
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“Mind reading” study looks inside coders’ brains
Using real-time fMRI readings, researchers linked spatial reasoning with CS problem solving.
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Automated tool optimizes complex programs better than humans
Erie provided database repairs that were previously performed exclusively by human programmers.
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Paper recognized for lasting contributions to AI decision making
Baveja’s paper tackled the difficult problem of giving artificial intelligence a way to understand and represent knowledge collected over time.
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PET Award for making privacy policies easier to read
The research generated a chatbot to help users sift through important details in privacy policies.
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Best paper award for analysis of a decade of malware reports
The research suggests that common blacklist-based prevention systems are ineffective.