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

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

In recent years, the development of large language models has significantly advanced natural language processing (NLP). These models, trained on extensive datasets, can generate, understand, and ...

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

Artificial intelligence (AI) models have made substantial progress over the last few years, but they continue to face critical challenges, particularly in reasoning tasks. Large language models are ...

Drug discovery is a costly, lengthy process with high failure rates, as only one viable drug typically emerges from a million screened compounds. Advanced high-throughput (HTS) and ...

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 ...

Effective lesson structuring remains a critical challenge in educational settings, particularly when conversations and tutoring sessions need to address predefined topics or worksheet problems.

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 ...

The rapid expansion of data in today’s era has brought with it both possibilities and difficulties. Businesses handle and use this data to their advantage with the help of some techniques. With their ...

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 ...

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