- Right now it’s easiest to think about an artificial intelligence algorithm as a specific tool, like a hammer.
- Alphabet’s AI research arm, DeepMind, is trying to change that idea with a new algorithm that can learn more than one skill.
- Having algorithms that can learn multiple skills could make it far easier to add new languages to translators, remove bias from image recognition systems, or even have algorithms use existing knowledge to solve new complex problems.
- If you train an algorithm to recognize faces and then try to train it again to recognize cows, it will forget faces to make room for all the cow-knowledge.
- DeepMind’s new algorithm identifies and protects the equations most important for carrying out the original task, while letting the less-important ones be overwritten.
@lifeboathq: “Artificial intelligence has a multitasking problem, and DeepMind might have a solution” open tweet »