Pepper the Robot to Get Emotional System

The system for human interaction is developed by Affectiva and called Emotion AI
30 August 2018   1641

SoftBank Robotics, which created the humanoid robot Pepper, integrates into the system for interaction with the person Emotion AI from Affectiva. It will teach robot to distinguish joy, disgust, surprise, fear and other emotions.

The algorithm uses Pepper cameras and microphones to recognize anger, contempt, disgust, fear, joy, sadness and surprise. The robot will distinguish between a smile and a grin, and also understand when a person is distracted or wants to sleep.

SoftBank Robotics introduced Pepper in 2015. It can understand speech, respond to the interlocutor and maintain conversation through the tablet in the case. It was created as a companion for single people and an assistant for business. For example, in 2015 it worked for a week at the Margiotta Food & Wine store in Edinburgh, but the management dismissed him because the robot could not cope with the tasks. Pepper's answers were too general and did not help customers find the right products, and it also joked inappropriately.

In March 2018, researchers found vulnerabilities in robots from SoftBank Robotics. Thanks to these findings, intruders can force androids to extort money, show pornography in public places and swear with clients. Although malware was developed for NAO, the same code can be used for Pepper.

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   464

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.