Matching patients to suitable clinical trials is a pivotal but highly challenging process in modern medical research. It involves analyzing complex patient medical histories and mapping them against ...

Quantum computing, despite its potential to outperform classical systems in certain tasks, faces a significant challenge: error correction. Quantum systems are highly ...

Recent advancements in natural language processing (NLP) have introduced new models and training datasets aimed at addressing the increasing demands for efficient and accurate language models. However ...

Generating high-quality, real-time video simulations poses significant challenges, especially when aiming for extended lengths without compromising quality. Traditionally, world models for video ...

Recent advancements in natural language processing (NLP) have introduced new models and training datasets aimed at addressing the increasing demands for efficient and accurate ...

Recent advancements in natural language processing (NLP) have introduced new models and training datasets aimed at addressing the increasing demands for efficient and accurate language models. However ...

Automated software engineering (ASE) has emerged as a transformative field, integrating artificial intelligence with software development processes to tackle debugging, feature enhancement, and ...

Neural networks have traditionally operated as static models with fixed structures and parameters once trained, a limitation that hinders their adaptability to new or unforeseen scenarios. Deploying ...

Large Language Models (LLMs) have transformed artificial intelligence by enabling powerful text-generation capabilities. These models require strong security against critical risks such as prompt ...

AI-driven solutions are advancing rapidly, yet managing multiple AI agents and ensuring coherent interactions between them remains challenging. Whether for chatbots, voice assistants, or other AI ...

Large-sample hydrology is a critical field that addresses pressing global challenges, such as climate change, flood prediction, and water resource management. By leveraging vast datasets of ...

Generating high-quality, real-time video simulations poses significant challenges, especially when aiming for extended lengths without compromising quality. Traditionally, world models for video ...