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Training Machines to Learn More Like Humans Do
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way. Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as perceptual straightening, helps us predict the walking person’s trajectory.
How To Delete Your Data From ChatGPT
OpenAI has new tools that give you more control over your information—although they may not go far enough.
How a Quantum Computer Tackles a Surprisingly Difficult Airport Problem
At first glance, quantum computers seem like machines that only will exist in the far-off future. And in a way, they are. Currently, the processing power that these devices have are limited by the number of qubits they contain, which are the quantum equivalent of the 0-or-1 bits you’ve probably heard about with classical computers.