Whether through technological innovations or increased support for braille literacy programs, it is important that we continue to work towards a world where everyone has the tools and resources they need to achieve their full potential.
Introduction A set of programs oriented to natural language pro cessing have been designed and implemented. These programs were first applied to French language analysis and led to creation of the PIAF system (Programmes Interactifs dfAnalyse du Fran§ais). Some applications are operational mainly in automatic information retrieval where the PIAF system performs two tasks in parallel: 1. Data acquisition and control, 2. Production of simple or compound key words. Following a request from the Centre National des Arts et Metiers, we have developed the contracted braille transla tion and editing of French texts with respect to typo graphic codes from programs and basic algorithms of the PIAF system. General Principles of the PIAF System We propose to the average user a set of tools to define and handle textual datas, under the control of an editor: i) The definition tools are facilities to create and perform interactive updating of the dictionaries and models of the selec...
Our New Year, New Chapter workshop series: Stories of Renewal includes four unique workshops united by themes of reflection and reinvention. Each workshop uses a different approach—from interviews to guided conversation and more—to offer fresh perspectives and inspiration for the year ahead. Explore the fascinating history of how we mark the New Year—from the Times Square ball drop and the evolution of the calendar to unique celebrations around the world. Educational Talk: Origins & Traditions of the New Year . Thursday, January 15, 2026 11:00 AM to 12:00 PM PT. Online / Los Angeles
The system presented in this project aims to Break down communication barriers for visually impaired individuals by translating written Braille into both text and audio formats . It leverages advanced machine learning techniques to accurately interpret Braille symbols and convert them into readable text. The system employs convolutional neural networks (CNNs) to improve the precision of Braille recognition . In addition, text-to-speech functionality is integrated to provide audio output, making the system more accessible. This project highlights the power of machine learning in creating inclusive solutions that cater to diverse user needs. Braille Recognition Using Convolutional Neural Network .
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