Browsing: AI News
Video editing, a field of study that has garnered significant academic interest due to its interdisciplinary nature, impact on communication, and evolving technological landscape, often relies…
Computer vision, one of the major areas of artificial intelligence, focuses on enabling machines to interpret and understand visual data. This field encompasses image recognition, object…
Materials science focuses on studying and developing materials with specific properties and applications. Researchers in this field aim to understand the structure, properties, and performance of…
Machine learning has achieved remarkable advancements, particularly in generative models like diffusion models. These models are designed to handle high-dimensional data, including images and audio. Their…
There has been a marked movement in the field of AGI systems towards using pretrained, adaptable representations known for their task-agnostic benefits in various applications. Natural…
Autoregressive image generation models have traditionally relied on vector-quantized representations, which introduce several significant challenges. The process of vector quantization is computationally intensive and often results…
Large open-source pre-training datasets are important for the research community in exploring data engineering and developing transparent, open-source models. However, there’s a major shift from frontier…
Large language models (LLMs) have made significant strides in handling multiple modalities and tasks, but they still need to improve their ability to process diverse inputs…
In supervised multi-modal learning, data is mapped from various modalities to a target label using information about the boundaries between the modalities. Different fields have been…
The deep learning revolution in computer vision has shifted from manually crafted features to data-driven approaches, highlighting the potential of reducing feature biases. This paradigm shift…