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A Brain Built From Atomic Switches Can Learn
A tiny self-organized mesh full of artificial synapses recalls its experiences and can solve simple problems. Its inventors hope it points the way to devices that match the brain’s energy-efficient computing prowess.
Clever Machines Learn How to Be Curious
Computer scientists are finding ways to code curiosity into intelligent machines.
In Game Theory, No Clear Path to Equilibrium
John Nash’s notion of equilibrium is ubiquitous in economic theory, but a new study shows that it is often impossible to reach efficiently.
Why Quantum Computers Might Not Break Cryptography
A new paper claims that a common digital security system could be tweaked to withstand attacks even from a powerful quantum computer.
How to Force Our Machines to Play Fair
The computer scientist Cynthia Dwork takes abstract concepts like privacy and fairness and adapts them into machine code for the algorithmic age.
Do You Love or Hate Math and Science?
Quanta Magazine invites readers to share about their early math and science learning experiences and to explore the interactive survey results.
The Art of Teaching Math and Science
The impasse in math and science instruction runs deeper than test scores or the latest educational theory. What can we learn from the best teachers on the front lines?
How to Cut Cake Fairly and Finally Eat It Too
Computer scientists have come up with a bounded algorithm that can fairly divide a cake among any number of people.
Hacker-Proof Code Confirmed
Computer scientists can prove certain programs to be error-free with the same certainty that mathematicians prove theorems.