ORS Dragonfly
Powerful, flexible, and user-friendly, Dragonfly delivers quantitative answers for today's most demanding 2D/3D/4D imaging studies, including data from correlative and hyperspectral imaging systems, X-ray, SEM, FIB-SEM, ion beam, and confocal microscopy, as well as other advanced applications. Gain detailed insight into material structures and properties with interactive inspection tools and robust quantification workflows. Post-processing functions include data restructuring, filtering, volume and slice registration, image stitching. Powerful segmentation tools to accurately label image features. Meet image enhancement and segmentation challenges with Dragonfly's Deep Learning solutions. Automate your 3D analysis workflows with easy-to-author macros. Dragonfly with Deep Learning is a transformative solution for image processing. Experience the only commercially-supported Deep Learning engine that lets you train and execute custom networks.
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Alibaba Cloud Elastic Compute Service
Alibaba Cloud ECS provides the highest SLA commitment for both single instance and multiple instances in multiple availability zones among the top cloud providers worldwide. Alibaba Cloud gained lots of experience of running infrastructure at large scale while maintaining high availability. We are currently supporting the world's largest e-commerce platforms such as Taobao and Tmall and we work closely with scientists from DAMO Academy to accurately predict, prevent and mitigate infrastructure issues without impacting our customers. On top of the world-class customized components from our various vendors such as Intel, Alibaba Cloud invested heavily on the Research & Development of our ECS product. Over the time, we developed X-Dragon compute platform, including the self-developed SOC, hardware acceleration card, as well as the Dragonfly lightweight hypervisor.
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Dragonfly 3D World
Dragonfly 3D World by Object Research Systems (ORS) is a comprehensive software platform for multidimensional image visualization, analysis, and collaboration in scientific and industrial fields. It provides powerful tools to visualize, process, and interpret 2D, 3D, and 4D imaging data acquired through modalities such as CT, MRI, electron microscopy, and more. Dragonfly supports real-time volume rendering, surface rendering, and orthogonal slicing, allowing users to explore complex structures interactively. With its AI integration, users can apply deep learning for image segmentation, classification, and object detection. It offers advanced quantitative analysis tools, including region-of-interest analysis, measurements, and statistical evaluations. Its intuitive graphical user interface enables researchers to build reproducible workflows and perform batch processing.
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syzkaller
syzkaller is an unsupervised coverage-guided kernel fuzzer. Supports FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Initially, syzkaller was developed with Linux kernel fuzzing in mind, but now it's being extended to support other OS kernels as well. Once syzkaller detects a kernel crash in one of the VMs, it will automatically start the process of reproducing this crash. By default, it will use 4 VMs to reproduce the crash and then minimize the program that caused it. This may stop the fuzzing, since all of the VMs might be busy reproducing detected crashes. The process of reproducing one crash may take from a few minutes up to an hour depending on whether the crash is easily reproducible or non-reproducible at all.
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