Google has reached a new milestone in understanding the search queries the company says that it will have the ability to consider the full context of a searched word by accessing the words that come before and after and the update is a result of new artificial intelligence training systems called as BERT which stands for “bidirectional encoder representations from Transformers”. The company is going towards more and more productive search results while the company also tries to make its product more conventional and more useful for the people, and the aim is to engage the people for a very long time. With this statement, Google has also announced a new natural language processing system that will detect the contacts in searches. Indeed, the system will aim at improving search queries and could event will be used across Google’s other products, for example, Gmail. The search improvements may seem dull as compared with more experimental projects that use artificial intelligence self-driving Cars, but the search is still Google’s main business, and the company aims to improve that day by day. The company has a market share of more than 90%, and search is a critical driver of the advertising that makes up more than 80% of the Google Parent company alphabet’s total revenues. This technology also marks the first time Google is driving search results by using its Tensor Processing Unit (TPU), which has specialized chips created for Artificial Intelligence application. TPU use is typically used by that application for using artificial intelligence to recognize words people are saying in audio recordings or spotting objects in photos or videos. Google also makes access to the chips available to third-party developers as a cloud service.
- Problems handled by IOT and smart Technologies
- Stardog to expand its software product line