
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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3D-DOCTOR
3D-DOCTOR is a sophisticated software solution designed for 3D modeling, image processing, and measurement across various imaging modalities, including MRI, CT, PET, and microscopy, as well as scientific and industrial applications. It accommodates both grayscale and color images in multiple formats such as DICOM, TIFF, Interfile, GIF, JPEG, PNG, BMP, PGM, MRC, RAW, and more. This powerful software generates 3D surface models and performs volume rendering from 2D cross-sectional images in real-time on your computer. Users can export polygonal mesh models in various formats, including STL, DXF, IGES, 3DS, OBJ, VRML, PLY, and XYZ, making it suitable for applications like surgical planning, simulation, quantitative analysis, finite element analysis, and rapid prototyping. In addition, it allows for 3D volume calculations and other measurements crucial for quantitative insights. The vector-based tools enhance the ease of handling image data, facilitating measurement and analysis efficiently. Moreover, 3D CT and MRI images can be re-sliced along any chosen axis, and it is capable of registering multi-modality images to produce comprehensive image fusions, ensuring a versatile approach to imaging challenges.
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ORS Dragonfly
Dragonfly is a robust, adaptable, and easy-to-use software that provides quantitative solutions for a wide range of imaging studies, such as 2D, 3D, and 4D analyses, effectively handling data from various imaging systems like correlative and hyperspectral imaging, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, along with other sophisticated applications. With its interactive inspection tools and comprehensive quantification workflows, users can achieve in-depth understanding of material structures and properties. The software offers a suite of post-processing capabilities, including data restructuring, filtering, volume and slice registration, and image stitching. Additionally, it features powerful segmentation tools that enable precise labeling of image characteristics. Dragonfly also addresses image enhancement and segmentation challenges with its advanced Deep Learning solutions. Users are empowered to streamline their 3D analysis processes through easily created macros. By integrating Deep Learning into its functionalities, Dragonfly transforms the landscape of image processing, providing access to the only commercially-supported Deep Learning engine that allows for the training and execution of custom networks, which significantly enhances the overall user experience. This innovative approach ensures that both novice and experienced users can tackle complex imaging tasks with confidence and efficiency.
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