A new method is proposed to reduce the verbosity of LLMs in step-by-step reasoning by retaining moderately easy problems during Reinforcement Learning with Verifiable Rewards (RLVR) training. This approach acts as an implicit length regularizer, preventing the model from excessively increasing output length on harder problems. Experiments using Qwen3-4B-Thinking-2507 show the model achieves baseline accuracy with nearly twice shorter solutions.
This paper introduces a framework that combines machine learning for multi-class attack detection in IoT/IIoT networks with large language models (LLMs) for attack behavior analysis and mitigation suggestion. The framework uses role-play prompt engineering with RAG to guide LLMs like ChatGPT-o3 and DeepSeek-R1, and introduces new evaluation metrics for quantitative assessment. Experiments using Edge-IIoTset and CICIoT2023 datasets showed Random Forest as the best detection model and ChatGPT-o3 outperforming DeepSeek-R1 in attack analysis and mitigation.
Researchers have developed a CNN-based deep learning model for predicting coastal flooding in cities under various sea-level rise scenarios. The model utilizes a vision-based, low-resource DL framework and is trained on datasets from Abu Dhabi and San Francisco. Results show a 20% reduction in mean absolute error compared to existing methods, demonstrating potential for scalable coastal flood management.
Cisco and KAUST have launched a new AI Institute located at the KAUST campus in Saudi Arabia. The institute will focus on AI research, development, and education, including AI-native communication systems and edge infrastructure for Industry 5.0. Cisco will donate its latest technology, including a Cisco AI POD. Why it matters: This initiative will foster AI innovation and develop a skilled AI workforce within the Kingdom, aligning with Saudi Vision 2030 and the nation's digital transformation goals.
Qualcomm has signed an agreement with HUMAIN, a Saudi Arabian company, to establish Saudi Arabia as a global hub for artificial intelligence. The collaboration aims to develop and commercialize advanced AI solutions, with a focus on making Saudi Arabia a leader in AI innovation. The partnership will leverage Qualcomm's technology and HUMAIN's investment to drive growth and development in the AI sector within the Kingdom. Why it matters: This deal could accelerate Saudi Arabia's national AI strategy and diversify its economy through technology leadership.
MASARAT SA has developed Mubeen, a proprietary Arabic language model specializing in Arabic linguistics, Islamic studies, and cultural heritage. Mubeen was trained using native Arabic sources, including digitized historical manuscripts processed via a proprietary Arabic OCR engine. The model employs a Practical Closure Architecture to improve user intent understanding and provide decisive guidance. Why it matters: Mubeen addresses the utility gap in current Arabic LLMs by focusing on native Arabic data and cultural authenticity, which is critical for heritage preservation and alignment with Saudi Vision 2030.