Michigan Engineering | University of Michigan Professor Alex Halderman and the New York Times staged a mock election to demonstrate voting machine vulnerability.
The post ‘I hacked an election. So can the Russians.’ appeared first on Michigan Engineering News.
Blog
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CSE alum startup SambaNova collects $56m in funding for AI chip research
SambaNova’s approach, stemming from work by Olukotun and co-founder Christopher Ré at Stanford University, seeks to create a new platform from scratch that is optimized specifically for AI operations.
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Solar cells enable self-powered camera
A solar cell combined with a camera sensor collects photons to provide electricity.
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Dmitry Berenson receives NSF CAREER Award to advance a robot’s ability to handle soft objects
Berenson works to improve the ability of autonomous robots to handle soft, deformable objects.
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SMAP Update: A mission to manage water globally
The satellite mission to collect global data of surface soil moisture can help weather forecasting around the world.
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Inaugural ECE Willie Hobbs Moore Alumni Lecture: Dr. Isaac R. Porche III
Porche discussed the changing definition of war and how information is playing a greater role than ever.
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M-Air autonomous aerial vehicle outdoor lab opens
Michigan Engineering now hosts advanced robotics facilities for land, air, sea, and space.
The post M-Air autonomous aerial vehicle outdoor lab opens appeared first on Michigan Engineering News.
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Nuclear nonproliferation: U-M participates in project monitoring nuclear reactors from afar
Secret nuclear power reactors could be detected by capturing elusive antineutrinos.
The post Nuclear nonproliferation: U-M participates in project monitoring nuclear reactors from afar appeared first on Michigan Engineering News.
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Michigan researchers discover vulnerabilities in next-generation connected vehicle technology
The vulnerability allows an attacker to manipulate a new intelligent traffic control algorithm and cause severe traffic jams.
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Preventing deadly hospital infections with machine learning
Model successfully applied to data from medical centers with different patient populations, electronic health record systems
The post Preventing deadly hospital infections with machine learning appeared first on Michigan Engineering News.
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