In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...

Delays or errors in diagnosing pneumoperitoneum, with air outside the intestines within the peritoneal cavity, can severely impact patient survival and health outcomes. In adults, most cases result ...

In the world of software development, there is a constant need for more intelligent, capable, and specialized coding language models. While existing models have ...

High-performance computing has become crucial for various businesses, including scientific research and Artificial Intelligence (AI), in today’s data-driven society. By providing strong, scalable, and ...

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

Large language models (LLMs) have revolutionized natural language processing by making strides in text generation, summarization, and translation. Even though they excel at language tasks, they need ...

The routing mechanism of MoE models evokes a great privacy challenge. Optimize LLM large language model performance by selectively activating only a fraction of its total parameters while making it ...

The advent of AI has revolutionized the landscape of graphic design. AI graphic design tools are reshaping the way designers work, offering unprecedented efficiency, creativity, and innovation. These ...

In today’s world, building robotic policies is difficult. It often requires collecting specific data for each robot, task, and environment, and the learned policies do not generalize beyond these ...

In the rapidly evolving field of household robotics, a significant challenge has emerged in executing personalized organizational tasks, such as arranging groceries in a refrigerator. These tasks ...

Language models have demonstrated remarkable capabilities in processing diverse data types, including multilingual text, code, mathematical expressions, images, and audio. However, a fundamental ...

Machine learning research has advanced toward models that can autonomously design and discover data structures tailored to specific computational tasks, such as nearest neighbor (NN) search. This ...