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

LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
IEEE

Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets, and Case Study

Abstract: This paper comprehensively examines Large Language Models (LLMs) in sentiment analysis, specifically focusing on financial markets and exploring the correlation between news sentiment and ...
GitHub

sefineh-ai/Amharic-Tokenizer

This version includes a pretrained model (amh_bpe_v0.2.6) that can be used immediately without any additional setup and training.
idw

Else Kröner-Fresenius-Stiftung facilitates oncological care in Halle and Addis Ababa

Bad Homburg v. d. Höhe, November 27, 2025 – The Else Kröner-Fresenius-Stiftung is supporting two pioneering cancer research projects at University Hospital Halle (Saale) with a total of 3 million ...
IEEE

RingMoGPT: A Unified Remote Sensing Foundation Model for Vision, Language, and Grounded Tasks

Abstract: Recently, multimodal large language models (MLLMs) have shown excellent reasoning capabilities in various fields. Most of the existing remote sensing (RS) MLLMs solve image-level text ...
GitHub

VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

VLAC is a general-purpose pair-wise critic and manipulation model which designed for real world robot reinforcement learning and data refinement. It provides robust evaluation capabilities for task ...