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Machine Learning

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  • Machine Learning

  • Singhealth Cyber Attack: Key Security Learnings
  • Researchers Seek to Advance Autonomous Cyber-physical System Security
Artificial Intelligence

Researchers Study Urban Response to Climate-related Disasters

Addressing climate change requires a group effort from a multitude of fields. ADSC is doing its part by using artificial intelligence (AI) to assess how natural disasters caused by climate change could impact urban infrastructure.

#URBAN INFRASTRUCTURE #POWER GRID #MACHINE LEARNING
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Cybersecurity

Researcher Improves Power Control System Attack Detection

Cybersecurity is improving and advancing at a rapid pace, but so are cyber-attackers. When a cyber attack happens, there are often many steps taken to combat its actions and regain control of the attacked center.

#CYBER-PHYSICAL SYSTEM #MACHINE LEARNING
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Projects

Researchers Win DAC-IoT Competition with Low-cost Audio Security System

Most university campuses employ security systems to help keep students, faculty, and staff safe. But because of their sheer size – the University of Illinois campus totals 6,370 acres, for example – it’s expensive to provide adequate coverage using traditional systems.

#MACHINE LEARNING #INTERNET OF THINGS
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Projects

Researchers Optimize Air Conditioning Units for Maximum Efficiency

In Singapore, more than 40 percent of a building’s total energy consumption can be attributed to its chiller plant, according to ADSC Senior Research Scientist Zhenjie Zhang. By using new technology developed as a collaboration between ADSC and a Singapore air-conditioning company, Kaer, companies could save thousands of dollars per month on their energy bills.

#MACHINE LEARNING #ENERGY
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Projects

Newly Developed Software Can Interpret Emotions in Real Time

We laugh, we cry, we grimace, we smile—our emotions are communicated through our expressions, and up until recently, humans were the only ones who could accurately interpret and analyze them.

#MACHINE LEARNING #EMOTION RECOGNITION
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News Release

Researchers Take Second Place in Signal Processing Competition

ADSC researchers recently took second place at the 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) Bird Classification Challenge.

#MACHINE LEARNING
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