Artificial Intelligence (AI) has been making significant advances with an exponentially growing trajectory, incorporating vast amounts of data and building
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow
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
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
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.
Get the latest business insights, expert advice, and exclusive content delivered straight to your inbox. Join a community of forward-thinking entrepreneurs who are shaping the future of business.