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Physicists Finally Find a Problem That Only Quantum Computers Can Do
Researchers have shown that a problem relating to the energy of a quantum system is easy for quantum computers but hard for classical ones.
New Breakthrough Brings Matrix Multiplication Closer to Ideal
By eliminating a hidden inefficiency, computer scientists have come up with a new way to multiply large matrices that’s faster than ever.
How Selective Forgetting Can Help AI Learn Better
Erasing key information during training results in machine learning models that can learn new languages faster and more easily.
Never-Repeating Tiles Can Safeguard Quantum Information
Two researchers have proved that Penrose tilings, famous patterns that never repeat, are mathematically equivalent to a kind of quantum error correction.
How Quickly Do Large Language Models Learn Unexpected Skills?
A new study suggests that so-called emergent abilities actually develop gradually and predictably, depending on how you measure them.
Scientists Find Optimal Balance of Data Storage and Time
Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it.
How to Build an Origami Computer
Two mathematicians have shown that origami can, in principle, be used to perform any possible computation.
Researchers Approach New Speed Limit for Seminal Problem
Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.
Why Locusts Swarm, Humans Do Good and Time Marches On
The Joy of Why podcast returns for a third season, with two co-hosts, 24 brilliant guests and 24 all-new episodes.