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As science dives headlong into an ocean of data, the demands of large-scale interdisciplinary collaborations are growing increasingly acute.
Machine learning techniques are helping scientists pinpoint the mutations that allow bird and pig viruses to infect humans.
How do you know if a quantum computer is doing what it claims? A new protocol offers a possible solution and a boost to quantum cryptography.
Studies show that computer models called “neural networks” behave strikingly similar to actual brains when performing certain tasks, suggesting the two may learn in the same way.
As the role of computers in pure mathematics grows, researchers debate their reliability.
An infinitesimal advance in the traveling salesman problem breathes new life into the search for improved approximate solutions.
Computer scientists are finding that “thinking quantumly” can lead to new insights into long-standing problems in classical computer science, mathematics and cryptography, regardless of whether quantum computers ever materialize.
A mathematical technique called “differential privacy” gives researchers access to vast repositories of personal data while meeting a high standard for privacy protection.
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