The fields of secure data processing, scientific computing, and natural language processing are experiencing significant growth, driven by innovations in homomorphic encryption, physics-informed neural networks, and multilingual capabilities. Recent developments have focused on improving the efficiency and scalability of homomorphic encryption, enabling secure and efficient processing of sensitive data. Notable advancements include the introduction of end-to-end encrypted face recognition systems, novel approaches to recommendation systems, and innovative image encryption schemes. In scientific computing, researchers have made progress in designing hybrid homomorphic encryption frameworks, secure inference and decoding methods for language models, and novel secure aggregation methods. The field of physics-informed neural networks is also rapidly advancing, with new frameworks and techniques being introduced to improve accuracy, efficiency, and interpretability. Furthermore, the development of large language models with multilingual capabilities is addressing the challenges of emerging e-commerce markets and improving alignment between languages. Overall, these advancements have the potential to transform various fields, including engineering, healthcare, and physics, and promote more inclusive and equitable research. Key highlights include the introduction of CryptoFace, Efficient Privacy-Preserving Recommendation, and Image Encryption Scheme Based on Hyper-Chaotic Map and Self-Adaptive Diffusion, as well as the development of FNODE, Neptune, and HyPINO for physics-informed neural networks. Additionally, noteworthy papers in natural language processing include Zero-shot Cross-lingual NER via Mitigating Language Difference, NER Retriever, and Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition, which demonstrate the effectiveness of meta-pretraining and entity-aligned translation approaches for low-resource languages. The creation of new benchmarks and datasets for languages such as Indic languages, Sinhala, and Ladin is also promoting more inclusive and equitable NLP research. As these fields continue to evolve, we can expect to see significant improvements in secure data processing, AI-driven technologies, and natural language processing, leading to breakthroughs in various applications and industries.