Mei to Use AI to Improve Relationships

The application will help people fill in the gaps in communication
07 August 2018   1318

Es Lee, a graduate of the computer science department at Harvard University, founded the Mei start-up. The application will help people fill in the gaps in communication, giving advice on how to respond in various situations. This is reported by Venture Beat.

Mei processes messages using algorithms that take into account the response time, laconicity, word selection and other factors. Based on these data, the application builds a psychological portrait of the interlocutor. Lee argues that algorithms can determine the age of the interlocutor only on the emoticons used. If you add text to it, the application will understand what kind of relationship between people and determine their strength. 

One of the difficulties of maintaining relationships through text is that it’s [possible] to come across as crass or rude — even when that was never the intention. Emotion is lost in text messages. It’s a different form of body language that people aren’t quite attuned to detecting yet.
 

Es Lee

Creator, Mei

In practice, AI calculates the percentage of compatibility, taking into account 5 personality factors: openness, goodwill, conscientiousness, emotionality and extraversion. At the same time, he additionally breaks each of them into sub-points (original, stubborn, polite, etc.), and also identifies features that most closely match the two interlocutors (for example, pride and seriousness).

Mei Screen
Mei Screen

Mei has been trained on millions of messages from more than 100,000 application users, data from two universities and team development team correspondence. The messenger uses double encryption of messages, and they can be deleted at any time, regardless of whether they were read or not. There are instant messages that are deleted as soon as they are sent or read. According to the developers, the application is developed thanks to the data received from users.

TensorFlow 2.0 to be Released

New major release of the machine learning platform brought a lot of updates and changes, some stuff even got cut
01 October 2019   172

A significant release of the TensorFlow 2.0 machine learning platform is presented, which provides ready-made implementations of various deep machine learning algorithms, a simple programming interface for building models in Python, and a low-level interface for C ++ that allows you to control the construction and execution of computational graphs. The system code is written in C ++ and Python and is distributed under the Apache license.

The platform was originally developed by the Google Brain team and is used in Google services for speech recognition, facial recognition in photographs, determining the similarity of images, filtering spam in Gmail, selecting news in Google News and organizing the translation taking into account the meaning. Distributed machine learning systems can be created on standard equipment, thanks to the built-in support in TensorFlow for spreading computing to multiple CPUs or GPUs.

TensorFlow provides a library of off-the-shelf numerical computation algorithms implemented through data flow graphs. The nodes in such graphs implement mathematical operations or entry / exit points, while the edges of the graph represent multidimensional data arrays (tensors) that flow between the nodes. The nodes can be assigned to computing devices and run asynchronously, simultaneously processing all the suitable tensors at the same time, which allows you to organize the simultaneous operation of nodes in the neural network by analogy with the simultaneous activation of neurons in the brain.

Get more info about the update at official website.