This robot is not throwing away its shot

Researchers have used a technique called one-shot learning to teach a robot to pick up things it’s never seen before.
What is one-shot learning? It’s AI software that can perform a task after being given a single data point.
The news: In a paper published on arXiv, researchers at UC Berkeley revealed they had developed a robotic system that can pick up an object it’s seeing for the first time. The robot’s algorithm first trained by watching videos of humans and robots picking up a variety of objects. Then came the “one-shot” part: it watched a single video of a human carrying out a new action, and then had to mimic what it saw.
Why it matters: Machine learning requires gobs of data and lots of time to train an algorithm. Advancing one-shot learning could streamline the process dramatically.
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