Moroccan Darija, the colloquial Arabic dialect spoken in Morocco, has been the focus of several dataset initiatives aimed at supporting natural language processing (NLP) applications. Moroccan Darija, spoken by over 33.5 million people, is at the heart of our mission to create chatbots that communicate naturally and effectively. Our goal is simple: break down language […]
Abstract: Describing the contents of an image with natural language is a complex yet compelling task in computer vision, requiring a deep understanding of both visual and semantic information. This paper explores the crucial roles played by visual features, derived directly from the image pixels, and semantic knowledge, encompassing object relationships, scene understanding, and common-sense […]
Abstract: Arabic, a macrolanguage with a rich and diverse array of dialects, presents a fascinating case study for linguistic variation. This paper explores the application of lexical distance measurements to analyze the relationships among various Arabic dialects. It delves into the theoretical underpinnings of lexical distance, examines methodologies for calculating it, discusses the challenges and […]
Abstract: The field of machine learning (ML) has achieved remarkable progress in various domains, from image recognition to natural language processing. However, many ML models often lack interpretability, robustness, and the ability to reason about uncertainty and complex relationships. Logic, a formal system for reasoning and knowledge representation, offers valuable tools and frameworks to address […]
Artificial Intelligence (AI) is no longer a futuristic concept confined to science fiction movies. It has permeated various aspects of modern life, from personalized recommendations on streaming platforms to sophisticated medical diagnoses. This widespread adoption is driven by a confluence of factors that have transformed AI from a theoretical possibility into a practical and increasingly […]
Abstract: Generative AI (GenAI) is rapidly transforming various industries, and the software testing market is no exception. This paper explores the significant impact of GenAI on this market, examining its potential to automate tasks, improve efficiency, enhance test coverage, and ultimately redefine the role of software testers. We will discuss the specific applications of GenAI […]
Abstract: Generative AI is rapidly evolving, promising a significant transformation in the data science landscape. This paper explores the projected impact of generative AI on the daily workflows of data scientists by 2025. We envision a future where generative AI tools will automate routine tasks, augment analytical creativity, and enable data scientists to focus on higher-level […]
Abstract: The rapid evolution of Artificial Intelligence (AI) necessitates continuous learning and staying abreast of the latest developments. Podcasts have emerged as a powerful medium for accessing expert insights, industry news, and future trends in AI. This paper identifies and analyzes several key AI podcasts that are projected to be essential listening for professionals, researchers, and […]