Читать книгу Machine Learning For Dummies - John Paul Mueller, John Mueller Paul, Luca Massaron - Страница 62

At the moment, devising new machine learning environments is the realm of research and development companies. A group of highly trained specialists must create the parameters for a new environment. For example, NASA needs robots to explore Mars. In this case, NASA relies on the skills of people at MIT and Northeastern to perform the task (see the story at https://www.computerworld.com/article/3007393/robotics/nasa-needs-robotic-upgrades-for-work-on-mars.html). Given that the robot will need to perform tasks autonomously, the machine learning algorithms will become quite complex and include several levels of problem solving.

What’s even more mind boggling is that an emotionally intelligent AI could help support astronauts making the trip to Mars, according to https://www.technologyreview.com/2020/01/14/64990/an-emotionally-intelligent-ai-could-support-astronauts-on-a-trip-to-mars/. Oddly enough, an astronaut could require support from an entity that isn’t emotionally involved in the grueling activities of working in tight spaces with the same people for a long time. Think about it: The AI would never get upset.

Eventually, someone will be able to describe a problem in sufficient detail that a specialized program can create the necessary algorithm using an appropriate language. In other words, average people will eventually begin creating new machine learning environments based on ideas they have and want to try. As with creating machine learning tasks, people who create future environments will be experts in their particular craft, rather than be computer scientists or data scientists. Solving the science of machine learning will eventually turn into an engineering exercise that will give anyone with a good idea the required access.