Dragonfly AI
Dragonfly AI uses cutting-edge neuroscience to accurately and instantly show what grabs audiences' attention first across any content. Teams across the world’s biggest brands and agencies are using Dragonfly AI. Our suite provides everything you need to start improving the performance of your content instantly. Get real-time insight that uncovers what really grabs your customers’ attention. Understanding how design decisions impact audience attention eliminates guesswork and helps you to optimize your digital and real-world content and experiences throughout the design lifecycle. Effective testing and experimentation programs require significant investments of time, money, and expertise. Dragonfly AI provides easy-to-understand attention insights in real-time, enabling you to test ideas in seconds and maximize the value of user testing. Increase efficiencies across your design cycles with predictive analytics’ attention.
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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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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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