Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.
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Does Computer Science Need Computers?
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The theoretical side of the field doesn’t require computing machines. But many questions would never have been posed without them.
In Hilbert Space, All Things Are Quantumly Possible
To explore quantum phenomena, we must leave the familiar world and enter the abstract realm of Hilbert space.
A New Framework for How the Brain Compresses Our Noisy World
An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.
‘Huge Breakthrough’ in the Math of Imbalance
For the first time in 30 years, computer scientists have found a better way to allocate objects evenly between two groups.
Building a Quantum Computer, One Fragile Qubit at a Time
No one yet knows which technology will power the quantum computers of the future, but the race to create them has already produced some of science’s most intricate machinery.
Why Aging May Be a Program, Not a Breakdown
By deciphering the molecular signatures of millions of mouse cells, Junyue Cao has found that aging is not haphazard wear and tear but rather a “remodeling of the cell society.”
Graduate Student Proves a Quantum Uncertainty Principle for Fractals
The math, which combines chaos, quantum theory, and infinitely complex fractal structures, has been called a “foundational result.”
Why Are Rivers So Mathematical?
A simple scaling law brings order to the chaos of flowing water, rock, and sediment. New findings have extended the law even further.
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