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The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Jiali Cheng, titled Learning to Forget: ...
Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have ...
Computers are all around us. How does this affect the world we live in? This course is a broad introduction to computing technology for humanities and social science students. Topics will be drawn ...
When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...
Today’s data pose unprecedented challenges for machine learning, statistics and data analysis. It may be incomplete, noisy, or exposed to some unknown source of corruption. Moreover, recent phenomenon ...
“God does not play dice with the universe,” Albert Einstein is reported to have said about the field of Quantum Physics. He was referring to the great divide at the time in the physics community ...
Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...
Using algorithms partially modeled on the human brain, researchers from the Massachusetts Institute of Technology have enabled computers to predict the immediate future by examining a photograph. A ...
Take an engineering approach to computer science. Engineers like to apply scientific principles to solve real-world, practical problems. They like to design and build the systems that keep our society ...