Scientists create AI models that can talk to each other and pass on skills with limited human input

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Roland Moore-Colyer is a freelance writer for Live Science and managing editor at consumer tech publication TechRadar, running the Mobile Computing vertical. At TechRadar, one of the U.K. and U.S.’ largest consumer technology websites, he focuses on smartphones and tablets.

The next evolution in artificial intelligence could lie in agents that can communicate directly and teach each other to perform tasks, research shows.

NLP is a subfield of AI that seeks to recreate human language in computers — so machines can understand and reproduce written text or speech naturally. These are built on neural networks, which are collections of machine learning algorithms modeled to replicate the arrangement of neurons in the brain.

Related: AI-powered humanoid robot can serve you food, stack the dishes — and have a conversation with you Through the embedded language model, the RNN understood full written sentences. This let it perform tasks from natural language instructions, getting them 83% correct on average, despite having never seen any training footage or performed the tasks before.

While AI-powered chatbots can interpret linguistic instructions to generate an image or text, they can’t translate written or verbal instructions into physical actions, let alone explain the instructions to another AI.

 

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