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Algorithms that address malicious noise could result in more accurate, dependable quantum computing
Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...
If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.
Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...
DeepMind explored the system’s potential to generalize its approach and enhance other essential computer science algorithms, including hashing.
Undergraduates learn fundamental concepts of the discipline and to become proficient in the use of advanced computer systems. The plan provides opportunities for study in software systems, algorithms ...
Computer science is foundational to learning about artificial intelligence, including thinking critically about AI’s ethics and impacts, data and algorithms, and equipping students to use ...
Core machine learning engineer: Computer science fundamentals and programming, applying machine learning algorithms and libraries, data modeling, and evaluation ...
Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.
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.
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 ...
U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.
For school leaders, artificial intelligence (AI) might feel like the latest shiny new thing to tackle in education. With ethical questions to reflect on, it may be shiny, but computer science teachers ...
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