machine learning

One of their models, called FastNet, uses machine learning to improve prediction capabilities.

Last year, a group of researchers applied machine learning to the largest existing data set of sperm whale codas, from The Dominica Sperm Whale Project, to demonstrate that sperm whale codas can be sensitive to how they are used — that is, the context created by surrounding codas may change a given coda's intended meaning, just the way words in human sentences create a context that indicate, or change, the intended meaning of a given word.

The data collected in this way was then analyzed using machine learning, allowing for the sort of complex analysis needed to find patterns indiscernible to the human ear, and in no way similar to what we might expect from our knowledge of human or even primate communication.

It’s right there in the terms of service: Musk’s right to deploy users’ posts “for use with and training of our machine learning and artificial intelligence models, whether generative or another type.”

This reinvigorated the earlier idea that a system of nodes and connections that mimics the human brain might work to create an artificial form of intelligence, leading to the deep learning models and machine learning we have today.