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Meet MobileVLM: A Competent Multimodal Vision Language Model (MMVLM) Targeted to Run on Mobile Devices

A promising new development in artificial intelligence called MobileVLM, designed to maximize the potential of mobile devices, has emerged. This cutting-edge multimodal vision language model (MMVLM) represents a major advancement in incorporating AI into common technology since it is built to function effectively in mobile situations. Researchers from Meituan Inc., Zhejiang University, and Dalian University…

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Researchers from UCLA and Snap Introduce Dual-Pivot Tuning: A Groundbreaking AI Approach for Personalized Facial Image Restoration

Image restoration is a complex challenge that has garnered significant attention from researchers. Its primary objective is to create visually appealing and natural images while maintaining the perceptual quality of the degraded input. In cases where there is no information available concerning the subject or degradation (blind restoration), having a clear understanding of the range…

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How Artificial Intelligence Might be Worsening the Reproducibility Crisis in Science and Technology | by LucianoSphere (Luciano Abriata, PhD) | Jan, 2024

Discussion backed up by some concrete examples, sketching broad guidelines on how to develop better AI systems Photo by National Cancer Institute on UnsplashArtificial Intelligence has become an integral tool in scientific research, but concerns are growing that the misuse of these powerful tools is leading to a reproducibility crisis in science and its technological…

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This AI Paper from NVIDIA Proposes Compact NGP (Neural Graphics Primitives): A Machine Learning Framework Corresponding Hash Tables with Learned Probes for Optimal Speed and Compression

Neural graphics primitives (NGP) are promising in enabling the smooth integration of old and new assets across various applications. They represent images, shapes, volumetric and spatial-directional data, aiding in novel view synthesis (NeRFs), generative modeling, light caching, and various other applications. Notably successful are the primitives representing data through a feature grid containing trained latent…

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