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Researchers from Microsoft and NU Singapore Introduce Cosmo: A Fully Open-Source Pre-Training AI Framework Meticulously Crafted for Image and Video Processing

Multimodal learning involves creating systems capable of interpreting and processing diverse data inputs like visual and textual information. Integrating different data types in AI presents unique challenges and opens doors to a more nuanced understanding and processing of complex data. One significant challenge in this field is effectively integrating and correlating different forms of data,…

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Open-sourcing MuJoCo – Google DeepMind

In October 2021, we announced that we acquired the MuJoCo physics simulator, and made it freely available for everyone to support research everywhere. We also committed to developing and maintaining MuJoCo as a free, open-source, community-driven project with best-in-class capabilities. Today, we’re thrilled to report that open sourcing is complete and the entire codebase is…

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Deriving a Score to Show Relative Socio-Economic Advantage and Disadvantage of a Geographic Area | by Jin Cui | Dec, 2023

There exist publicly accessible data which describe the socio-economic characteristics of a geographic location. In Australia where I reside, the Government through the Australian Bureau of Statistics (ABS) collects and publishes individual and household data on a regular basis in respect of income, occupation, education, employment and housing at an area level. Some examples of…

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Harnessing Power of AI in Microscopy

Artificial intelligence applications in microscopy are transforming how doctors and researchers analyze samples. AI is helping biology professionals overcome common hurdles like lengthy sample analysis, diagnosis delays, poor imaging quality and more. Emerging AI-powered innovations could even make next-gen microscopy more accessible to doctors worldwide. Here’s how AI is transforming and improving microscopy…

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Are CLIP Models ‘Parroting’ Text in Images? This Paper Explores the Text Spotting Bias in Vision-Language Systems

In recent research, a team of researchers has examined CLIP (Contrastive Language-Image Pretraining), which is a famous neural network that effectively acquires visual concepts using natural language supervision. CLIP, which predicts the most relevant text snippet given an image, has helped advance vision-language modeling tasks. Though CLIP’s effectiveness has established itself as a fundamental model…

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