Yesterday, MissingLink.ai launched as a platform with a purpose to accelerate deep learning progress.
Machine learning has shown immense promise across many use cases, from helping to diagnose diseases to powering autonomous vehicles, for a long time, but the actual process of delivering business outcomes currently takes too long and it is too expensive.
MissingLink.ai was born out of a desire to fix that, say the MissingLink team. It enables data scientists to spend less time on the grunt work by automating and streamlining the entire deep learning cycle, including data, code, experiments, and resources. It automates repetitive, time-consuming tasks, shortening model training times, and accelerating learning cycles. This way data scientists can get more time to apply the actionable insights the data provides.
Here are it’s top features:
- The system uses version-aware data management eliminating the need to copy files and only syncs changes to data.
- It offers real-time monitoring and tracking of experiments via visual dashboards. It also automatically tracks data, experiments, and code, so engineers can easily reproduce any experiment at any time.
- Users can run experiments on a training machine without the need to copy or move data. Once the data is integrated, MissingLink can manage it on a machine on premise.
- MissingLink.ai allows teams to manage both local and public cloud resources as a single environment, allowing them to grow and shrink compute resources elastically as needed.
- MissingLink.ai provides data management at scale, allowing companies to keep their data onsite and adjust experiment usage as needs change.
- MissingLink comes with support for popular frameworks such as Tensorflow, PyTorch, Caffe, and Keras.
Aidoc is a AI-powered healthcare company which uses deep learning for medical imaging. With MissingLink, they’ve been able to help radiologists prioritize life-threatening cases and expedite patient care. Another MissingLink customer, Nanit, has developed a smart baby camera that uses deep learning and computer vision to monitor children.
For more information, visit the MissingLink website. You may also read the blog from founder Yosi Taguri if you’d like to learn more.
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