Africa has thousands of languages. Can AI be trained on all of them?

For many African languages there are few written resources online that can be used to train AI. The African Next Voices project is trying to change that by recording underrepresented languages and ...
Microsoft

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models

Classifying geospatial imagery remains a major bottleneck for applications such as disaster response and land-use monitoring-particularly in regions where annotated data is scarce or unavailable.
Microsoft

Crowdsourcing Speech Data for Low-Resource Languages from Low-Income Workers

Voice-based technologies are essential to cater to the hundreds of millions of new smartphone users. However, most of the languages spoken by these new users have little to no labelled speech data.
African Union

Executive Committee of SHaSA II Convenes in Addis Ababa to Drive Data Harmonization for Agenda 2063

Agenda 2063 is the blueprint and master plan for transforming Africa into the global powerhouse of the future. It is the strategic framework for delivering on Africa’s goal for inclusive and ...
Tech Xplore

Report demonstrates how harnessing digitally generated data can transform humanitarian aid

A new report from the University of Liverpool and the United Nations Migration Agency–International Organization for ...
AllAfrica on MSN

Ethiopia reaffirms commitment to building a strong, modern and integrated African statistical system - DPM Temesgen

Ethiopia remains firmly committed to supporting the development of a strong, modern and integrated African statistical system that drives the continent's development goals, Deputy Prime Minister ...
ebm.bmj

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
Frontiers

Comparative performance of large language models in emotional safety classification across sizes and tasks

Understanding how large language models (LLMs) process emotionally sensitive content is critical for building safe and reliable systems, particularly in mental health contexts. We compare the ...
UNDP

Ethiopian delegation’s study mission to the Republic of Korea on statistical capacity building

As one of Africa's fastest-growing economies, Ethiopia's ambitious development agenda requires robust statistical systems to track progress, inform policy decisions, and monitor the country's ...
IEEE

Dual-Frequency Selected Knowledge Distillation With Statistical-Based Sample Rectification for PolSAR Image Classification

Abstract: The collaborative classification of dual-frequency polarimetric synthetic aperture radar (PolSAR) images is a meaningful but also challenging research. The effect of regional consistency on ...
IEEE

Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach

Abstract: Natural Language Processing (NLP) is a tract of artificial intelligence and linguistics devoted to making computers understand the statements or words written in human languages. Amharic, ...