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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In Hilbert Space, All Things Are Quantumly Possible
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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.
Theory of Fluids Enters the 21st Century
From the 1800s to the early 2000s, physicists used the same theory to understand the behavior of fluids. Now, using a modern insight, they have redefined fluids from the bottom up.
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.
Neutrinos From Deep Inside Earth Provide a New Picture of the Mantle
A global constellation of neutrino detectors is creating a never-before-seen view of the radioactive elements that power Earth’s tectonic heat engine.
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