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Oct 12
Ideogram 2.0: a new era for AI image generation

Ideogram, the pioneer of artificial intelligence image generation, has just launched Ideogram 2.0, a major update that pushes the boundaries of AI-assisted visual creation. This new version, available for free to everyone on the website and the new iOS application, promises to revolutionize the way creatives, businesses and the general public use generative AI. Unrivaled […]

Oct 12
Chatbots: how they are transforming customer service

IN BRIEF Constant availability : Chatbots offer 24/7 customer service. Quick responses : Capable of providing information in real time. Personalization : Adapt interactions according to customer needs. Effective management : Process numerous requests simultaneously without delay. Cost reduction : Allows companies to reduce operational costs. Machine learning : Improve their responses using data from […]

Oct 12
Classifiers: understanding their role and use in linguistics

IN BRIEF Classifiers : measurement words used in some languages. Essential roles in counting and the quantification. Prevalence in Chinese and other linguistic systems. Often precede the name to provide contextual information. Integral part of the morphosyntax of the languages ​​concerned. Influence the linguistic typology by classifying languages ​​according to specific standards. Can be analyzed […]

Oct 12
Rabbit finally launches the revolutionary feature for its R1: will this be enough to revitalize the AI ​​within this device?

IN BRIEF Rabbit unveils revolutionary functionality for R1. Aimed at simplifying thehuman-machine interaction. Advanced integration of artificial intelligence in the device. Promise of a AI assistant to improve navigation between applications. At the origin of high expectations, bugs hindered its launch. An update scheduled for October 1 could bring further improvements. Only 5,000 users to […]

Oct 12
Machine Learning: Understanding the Basics and Applications

IN BRIEF Definition : L’machine learning allows computers to learn from data. Functioning : Relies on algorithms capable ofidentify patterns and to make predictions. Types of learning : Supervised, unsupervised, And deep. Applications : Used in various fields such as chatbots, finance, and health. Benefits : Improved performance without human intervention. Importance : An essential […]