Google reported on the start of testing of new tools based on machine learning. Artificial intelligence uses neural networks of cloud service AutoML to recognize human speech and translate texts, as well as search for objects on images. In addition, the company launched alpha testing of tensor processors.
Google's goal was to provide machine learning for companies and developers who lack knowledge or resources to solve problems. Therefore AI learns to recognize human speech and translate texts. These skills are taught in the AutoML Natural Language and AutoML Translate services, respectively.
AI is empowerment, and we want to democratize that power for everyone and every business — from retail to agriculture, education to healthcare. AI is no longer a niche in the tech world — it’s the differentiator for businesses in every industry. And we’re committed to delivering the tools that will revolutionize them.
Chief scientist, Google AI
In addition to these tools, Google introduced:
- Cloud Vision API, which learns to recognize handwriting from PDF and TIFF files. It also determines the location of the object in the image.
- AI Contact Center is a tool designed for telephone conversations with subscribers. During the call, it recognizes human speech and tries to solve the problem. In case of failure, the AI redirects the subscriber to the human operator (in Google it is called "agent's assist") and reports the information received.
- Alpha testing of the third generation of tensor processors.
The company seeks to increase the presence of AI in all spheres of life in order to simplify it and direct it to development. Cloud service AutoML appeared in January 2018, and six months later beta testing began.