Technical translation is one of the most delicate and challenging tasks in the translation industry. It is highly specialized and requires an in-depth knowledge of technical terminology specific to the business or industry.
Google is not designing a self-driving car that can recognize street conditions by machine vision only. The automobile’s computer decision making algorithms rely on a massive amount of data collection about the automobile’s surroundings. Similarly, humans have been working on automating translations since the early 50s and much progress has happened since.