Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI. With billions of parameters, these models offer groundbreaking ...
Reward functions play a crucial role in reinforcement learning (RL) systems, but their design presents significant challenges in balancing task definition simplicity with optimization effectiveness.
Ensuring the correctness of electronic designs is critical, as hardware flaws are permanent post-production and can compromise software reliability or the safety of cyber-physical systems.
The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis. However, many models struggle to capture the nuances of ...
Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across web, desktop, and mobile platforms. Automation ...
Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building more complex Large Language Models (LLMs).
Breaking down videos into smaller, meaningful parts for vision models remains challenging, particularly for long videos. Vision models rely on these smaller parts, called tokens, to process and ...
Graphical User Interfaces (GUIs) are central to how users engage with software. However, building intelligent agents capable of effectively navigating GUIs has been a persistent challenge. The ...
Neural machine translation (NMT) is a sophisticated branch of natural language processing that automates text conversion between languages using machine learning models. Over the years, it has become ...
One of the most critical challenges in computational fluid dynamics (CFD) and machine learning (ML) is that high-resolution, 3D datasets specifically designed for automotive aerodynamics are very hard ...
The business landscape is undergoing a profound transformation, driven by artificial intelligence technologies that are reshaping how companies approach sales and customer relationships. As we ...
The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international relations and conflict studies. The process ...