Google to Urge to Solve Global Problems with AI

Companies selected as part of the AI ​​Impact Challenge will share a $ 25 million grant from the company
31 October 2018   1449

Google urged non-profit, scientific and public organizations to suggest ways of using AI to solve social, humanitarian and environmental problems. Companies selected as part of the AI ​​Impact Challenge will share a $ 25 million grant from Google and will be assisted by AI specialists and will participate in the Launchpad Accelerator program. In the spring of 2019, an international team of experts will help Google choose the winning projects.

Google gave examples of successfully implemented projects that AI Impact Challenge participants can focus on:

  • Protection of Nature. Daniel de Leon used machine learning to analyze 100,000 hours of sounds made by rare whale species in the Pacific. Now AI automatically recognizes and classifies these sounds. In the future, scientists hope to use it to preserve rare mammals.
  • Fighting unemployment. The Harambee Youth Employment Accelerator project has helped more than 50,000 people in South Africa find jobs that do not require special skills.
  • Flood forecasting. Google developers have combined physical modeling and machine learning to predict floods.
  • Prevent forest fires. Two high school students from California created a device that uses AI to identify areas at risk of forest fires.
  • Baby health. The Canadian company Ubenwa has developed a mobile application that determines generic asphyxia by infant crying. Timely measures help reduce the risk of negative consequences for the newborn.

For those wishing to participate, but not sufficiently knowledgeable about machine learning, the company has compiled a manual.

When it comes to the use of AI, Google’s management is committed to ethical and reputational practices. In early October 2018, the company refused to participate in the Pentagon’s tender for $ 10 billion. A spokesman for the company said that this project may be contrary to the opinion of developers on the development of artificial intelligence.

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   470

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.