What's up in
Machine learning
Latest Articles
The Year in Math and Computer Science
Mathematicians and computer scientists made big progress in number theory, graph theory, machine learning and quantum computing, even as they reexamined our fundamental understanding of mathematics and neural networks.
To Decode the Brain, Scientists Automate the Study of Behavior
Machine learning and deep neural networks can capture and analyze the “language” of animal behavior in ways that go beyond what’s humanly possible.
Playing Hide-and-Seek, Machines Invent New Tools
After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world.
Computers Evolve a New Path Toward Human Intelligence
By ignoring their goals, evolutionary algorithms have solved longstanding challenges in artificial intelligence.
Machines Beat Humans on a Reading Test. But Do They Understand?
A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it's also revealed how far AI has to go.
Computers and Humans ‘See’ Differently. Does It Matter?
In some ways, machine vision is superior to human vision. In other ways, it may never catch up.
The Anthropologist of Artificial Intelligence
Iyad Rahwan’s radical idea: The best way to understand algorithms is to observe their behavior in the wild.
His Artificial Intelligence Sees Inside Living Cells
The computer vision scientist Greg Johnson is building systems that can recognize organelles on sight and show the dynamics of living cells more clearly than microscopy can.
Curious About Consciousness? Ask the Self-Aware Machines
Consciousness is a famously hard problem, so Hod Lipson is starting from the basics: with self-aware robots that can help us understand how we think.