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Computer Science
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Risky Giant Steps Can Solve Optimization Problems Faster
New results break with decades of conventional wisdom for the gradient descent algorithm.
The Cryptographer Who Ensures We Can Trust Our Computers
Yael Tauman Kalai’s breakthroughs secure our digital world, from cloud computing to our quantum future.
To Move Fast, Quantum Maze Solvers Must Forget the Past
Quantum algorithms can find their way out of mazes exponentially faster than classical ones, at the cost of forgetting the path they took. A new result suggests that the trade-off may be inevitable.
Mathematicians Solve Long-Standing Coloring Problem
A new result shows how much of the plane can be colored by points that are never exactly one unit apart.
How to Build a Big Prime Number
A new algorithm brings together the advantages of randomness and deterministic processes to reliably construct large prime numbers.
Computer Scientists Inch Closer to Major Algorithmic Goal
A new paper finds a faster method for determining when two mathematical groups are the same.
Neural Networks Need Data to Learn. Even If It’s Fake.
Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.
Sparse Networks Come to the Aid of Big Physics
A novel type of neural network is helping physicists with the daunting challenge of data analysis.
Data Compression Drives the Internet. Here’s How It Works.
One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information.