Google Claims Web Search to be made 10% Better by AI -- AI Daily - Artificial Intelligence News

Google has updated its search algorithms to tap into an AI language model that's better at understanding netizens' inquiries than previous frameworks. Pandu Nayak, a Google fellow and vice president of search, announced that Google has rolled out BERT, short for Bidirectional Encoder Representations from Transformers, for its most fundamental product: Google Search. It is Google's neural network-based technique for natural language processing (NLP) pre-training. Google said BERT helps better understand the nuances and context of words in searches and better match those queries with more relevant results. To do this, analysts at Google AI built a neural network known as a transformer.