AI

Keyphrase recommendation in e-commerce advertising faces significant challenges, particularly in balancing relevance and effectiveness for sellers and advertisers. The primary issue lies…

Detecting and attributing temperature increases due to climate change is vital for addressing global warming and shaping adaptation strategies. Traditional methods struggle…

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows…

Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is…

Recent advancements in utilizing large vision language models (VLMs) and language models (LLMs) have significantly impacted reinforcement learning (RL) and robotics. These…

Mathematical formula recognition has progressed significantly, driven by deep learning techniques and the Transformer architecture. Traditional OCR methods prove insufficient due to…

Researchers from Answer.AI released the Byaldi project, which addresses the challenge of making ColPALI—a complex, late-interaction multi-modal model—more accessible for developers and…

Medical question-answering systems have become a research focus due to their potential to assist clinicians in making accurate diagnoses and treatment decisions….

Cognitive psychology aims to understand how humans process, store, and recall information, with Kahneman’s dual-system theory providing an important framework. This theory…

Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a…