Ensuring the correctness of electronic designs is critical, as hardware flaws are permanent post-production and can compromise software reliability or…
Machine Learning
The pursuit of enhancing artificial intelligence (AI) capabilities is significantly influenced by human intelligence, particularly in reasoning and problem-solving. Researchers…
Mathematical reasoning has emerged as a critical frontier in artificial intelligence, particularly in developing Large Language Models (LLMs) capable of…
Creating engaging, high-quality content has never been easier, thanks to the rapid advancement and availability of AI-powered tools. These innovative…
The monopolization of any industry into the hands of a few giant companies has always been a matter of concern.…
The field of Natural Language Processing (NLP) has made significant strides with the development of large-scale language models (LLMs). However,…
Code generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate code for complex…
The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative…
Semantic segmentation of the glottal area from high-speed videoendoscopic (HSV) sequences presents a critical challenge in laryngeal imaging. The field…
Breaking down videos into smaller, meaningful parts for vision models remains challenging, particularly for long videos. Vision models rely on…
Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI.…
Reward functions play a crucial role in reinforcement learning (RL) systems, but their design presents significant challenges in balancing task…
One of the most critical challenges in computational fluid dynamics (CFD) and machine learning (ML) is that high-resolution, 3D datasets…
Graphical User Interfaces (GUIs) are central to how users engage with software. However, building intelligent agents capable of effectively navigating…
Natural Language Generation (NLG) is a domain of artificial intelligence that seeks to enable machines to produce human-like text. By…
Neural machine translation (NMT) is a sophisticated branch of natural language processing that automates text conversion between languages using machine…
Graph Neural Networks have emerged as a transformative force in many real-life applications, from corporate finance risk management to local…
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding…
FineWeb2 significantly advances multilingual pretraining datasets, covering over 1000 languages with high-quality data. The dataset uses approximately 8 terabytes of…
Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking…