Federated learning has emerged as an approach for collaborative training among medical institutions while preserving data privacy. However, the non-IID nature of data, stemming from differences in ...

Achieving expert-level performance in complex reasoning tasks is a significant challenge in artificial intelligence (AI). Models like OpenAI’s o1 demonstrate advanced reasoning capabilities akin to ...

Artificial intelligence (AI) has made significant strides in developing language models capable of solving complex problems. However, applying these models to real-world scientific challenges remains ...

Software engineering agents have become essential for managing complex coding tasks, particularly in large repositories. These agents employ advanced language models to interpret natural language ...

Appropriateness refers to the context-specific standards that guide behavior, speech, and actions in various social settings. Humans naturally navigate these norms, acting differently based on whether ...

Evaluating the real-world applicability of large language models (LLMs) is essential to guide their integration into practical use cases. One key challenge in assessing LLMs is their tendency to ...

Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is a fundamental pursuit in ...

Large language models (LLMs) have brought significant progress to AI applications, including code generation. However, evaluating their true capabilities is not straightforward. Existing benchmarks, ...

In today’s fast-paced world, staying organized is crucial for productivity, especially for professionals handling complex tasks like financial management. AI-powered note-taking tools have ...

Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. However, ...

Diffusion Policies in Imitation Learning (IL) can generate diverse agent behaviors, but as models grow in size and capability, their computational demands increase, leading to slower training and ...

Artificial Intelligence (AI) is now an integral ingredient in automating tasks in various industries, gaining immense efficiency and better decision-making benefits. Autonomy in agents has developed ...