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Perfecting the Art of Sensible Nonsense
In a watershed moment for cryptography, computer scientists have proposed a solution to a fundamental problem called “program obfuscation.”
A New Tool to Help Mathematicians Pack
Improvements in how densely spheres and other shapes can be packed together could lead to advances in materials science, deep space communication and theoretical physics.
The Future Fabric of Data Analysis
The nature of computing has changed dramatically over the last decade, and more innovation is needed to weather the gathering data storm.
The Mathematical Shape of Things to Come
Scientific data sets are becoming more dynamic, requiring new mathematical techniques on par with the invention of calculus.
A Digital Copy of the Universe, Encrypted
As physics prepares for ambitious projects like the Large Synoptic Survey Telescope, the field is seeking new methods of data-driven discovery.
Imagining Data Without Division
As science dives headlong into an ocean of data, the demands of large-scale interdisciplinary collaborations are growing increasingly acute.
Decoding Flu Viruses Before an Outbreak
Machine learning techniques are helping scientists pinpoint the mutations that allow bird and pig viruses to infect humans.
The Proof in the Quantum Pudding
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.
As Machines Get Smarter, Evidence They Learn Like Us
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.