Large language models (LLMs) have become the backbone of many AI systems, contributing significantly to advancements in natural language processing (NLP), computer vision, and ...

Ischemic stroke (IS) is one of the leading causes of disability and mortality in the world. It is caused by blood clotting in the arteries leading to the brain. It is crucial to dissolve the clot ...

Atmospheric science and meteorology have recently made strides in modeling local weather and climate phenomena by capturing fine-scale dynamics crucial to precise forecasting and planning. Small-scale ...

Autonomous agents have emerged as a critical focus in machine learning research, especially in reinforcement learning (RL), as researchers work to develop systems that can handle diverse challenges ...

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 ...

Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these ...

The landscape of AI research is experiencing significant challenges due to the immense computational requirements of large pre-trained language and vision models. Training even relatively modest ...

The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality response generation, document rewriting, and ...

The use of large language models like GPT-4o and GPT-4o-mini has brought significant advancements in natural language processing, enabling high-quality response generation, document rewriting, and ...

In recent years, the field of text-to-speech (TTS) synthesis has seen rapid advancements, yet it remains fraught with challenges. Traditional TTS models often rely on complex architectures, including ...

Foundation models show impressive capabilities across tasks and modalities, outperforming traditional AI approaches often task-specific and limited by modality. In medicine, however, developing such ...

In today’s data-driven world, data analysts play a crucial role in various domains. Businesses use data extensively to inform strategy, enhance operations, and obtain a competitive edge. Professionals ...