Google to Start New AI Services Test

Artificial intelligence uses neural networks of AutoML to recognize human speech and translate texts, as well as search for objects on images
26 July 2018   1664

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.

Fei-Fei Li

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.

BNC to Monitor BTC Community's Mood

The system called Twitter Sentiment analyzes over 34M BTC-related Twitter posts each week, using AI to track the mood of the community
22 January 2020   468

Blockchain-based New Zealand-based research firm Brave New Coin (BNC) has unveiled a new system for measuring the mood of the Bitcoin community based on Twitter messages.

According to BNC, the new Twitter Sentiment rating system analyzes over 34 million BTC-related Twitter posts each week. The company uses artificial intelligence (AI) algorithms that look for records containing the words bitcoin, $ BTC and BTC and others.

BNC notes that user sentiment continues to be a “significant” factor in the price and dynamics of digital assets, and a new technique has been developed to track these sentiments. According to the BNC, it took 18 months to launch the Bitcoin Twitter Sentiment. The data obtained is divided into seven categories - Opinion, Technical Information, Inside the Network, Advertising, Bots, Macros and Hacking.

For the week ending January 17, the most common entries were in the Opinion category - their number was 30.42% of all data received. In second place was the category Technical Information, and in third inside the network (includes information on mining and hashrate).

BNC spokeswoman Pierre Ansaldi said that during the first quarter of this year, the company will also launch community sentiment analysis tools for other crypto assets.