The best 5 changes that Google made using Artificial Intelligence

The best 5 changes that Google made using Artificial Intelligence

Artificial Intelligence (AI) has become a topic of great relevance in recent years. Google, since its early days, understands the importance of AI, not only in simplifying routine tasks, but also in solving the biggest social problems. On its 25th anniversary, Google reflects on its most notable achievements in the field of AI and anticipates even more exciting developments in the future.

2001: Machine learning helps Google Search users correct their spelling

Larry Page, co-founder of Google, has a clear vision of what is perfect search engine: understand exactly what the user wants to say and give them exactly what they need. In 2001, Google took a big step toward realizing this vision by using a simple version of machine learning to suggest better spellings for web searches. Even if you don’t write a query perfectly, Google will still understand and return the correct results. This development is a Introduction what’s coming next in the world of AI.

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2006: Google Translate is launched

Five years later, in 2006, Google launched Google Translate, a tool that will change the way people around the world communicate. Google Translate uses machine learning to automatically translate languages. It started with translations between Arabic and English, but for now supports 133 languages spoken by millions of people around the world. You can translate text, images and even conversations in real time, eliminating language barriers and enabling unprecedented global communication.

2017: Google Research introduces the Transformer

In 2017, Google Research introduced Transformer, a new neural network architecture that greatly improves language understanding. Before the Transformer, machines struggled to understand the meaning of long sentences and the relationships between distant words. Transformed by Transformer and It forms the basis for today’s most advanced generative artificial intelligence and language understanding systems. This innovation is changing translation, text generation, question answering, and even robotics.

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2019: BERT helps Search better understand queries

The arrival of BERT allows the Google search engine to better understand user searches and intent.

Research around Transformers led to the development of BERT, which stands for “Bidirectional representations of encoders from Transformers“. BERT transforms Google Search’s ability to understand user queries. BERT allows Google to understand the context of words. This resulted in a significant improvement in the quality of search results and allowed people to ask questions more naturally, rather than relying on keywords.

2023: Bard helps you collaborate with generative AI

LaMDA, a speech recognition model released by Google Research in 2021, is paving the way for many generative AI systems, including Bard. Bard, released in March 2023, is available in most countries and supports more than 40 languages. This means more people than ever can take advantage of it to increase their productivity, drive ideas, and satisfy their curiosity. Google integrates Bard’s powerful model into its everyday services, such as Gmail, Docs, Drive, Flights/Hotels, Maps and YouTube. This makes it more useful for tasks like planning a trip, checking answers, and synthesizing emails or documents.

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