When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...
Join the Drexel Women in Computing Society (WiCS) for a talk with Electrical and Computer Engineering Associate Professor Andrew Cohen, PhD on the use of Kolmogorov complexity and algorithmic ...
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Quantum machine learning nears practicality as partial error correction reduces hardware demands
Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
The UCLA Biomedical Artificial Intelligence Research Lab is using machine learning to improve the lives of patients. Machine learning is a field of AI that learns from existing data to make ...
Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...
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