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After millions of games, machine learning algorithms found creative solutions and unexpected new strategies that could transfer to the real world.
By ignoring their goals, evolutionary algorithms have solved longstanding challenges in artificial intelligence.
Today Google announced that it achieved “quantum supremacy.” Its chief quantum computing rival, IBM, said it hasn’t. The disagreement hinges on what the term really means.
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.
Researchers finally seem to have a quantum computer that can outperform a classical computer. But what does that really mean?
Fifty years after the current internet was born, the physicist and computer scientist Stephanie Wehner is planning and designing the next internet — a quantum one.
After successfully predicting laboratory earthquakes, a team of geophysicists has applied a machine learning algorithm to quakes in the Pacific Northwest.
In some ways, machine vision is superior to human vision. In other ways, it may never catch up.
Iyad Rahwan’s radical idea: The best way to understand algorithms is to observe their behavior in the wild.