In the news this week: many AI solutions providers make their offerings and access to critical datasets available for free to help fight COVID-19.
Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here is a short list of some news from this week:
C3.ai announced it will make a unified, federated, open data image of critical COVID-19 data publicly available at no cost to the global research community beginning on April 13, 2020, accessible at https://c3.ai/covid. This month’s offerings will be complemented in May when additional datasets will be added. The C3.ai COVID-19 Data Lake data sets to be offered this month include:
- Johns Hopkins University: COVID-19 Data Repository
- The Atlantic: COVID Tracking Project
- The New York Times: COVID-19 Data in the United States
- nCoV-2019 Data Working Group: Epidemiology Data
- MOBS Lab: COVID-19 Situation Report
- World Health Organization: Daily Situation Reports
- European Centre for Disease Prevention and Control: Worldwide Situation Updates
- University of Montreal: COVID-19 Image Data Collection
- National Center for Biotechnology Information Virus Database
- COVID-19 Open Research Dataset (CORD-19)
ModelOp announced new capabilities in its ModelOp Center V2. ModelOp Center V2 is a technology- and vendor-agnostic ModelOps software platform designed to deploy, monitor, and govern any kind of model. This includes models produced using any analytics or data science tool, in any enterprise infrastructure – on-premises, cloud, or hybrid cloud. The expanded platform, with its new Command Center and enhanced user experience, delivers significant, efficiency gains that enable enterprises to realize the value of their AI investments. Specifically, the new capabilities in ModelOp Center provide a comprehensive, unifying ModelOps framework that places no restrictions on the tools used by data science teams to develop models or the infrastructure used by operational teams to deploy models in production.
2021.AI announced it is opening its Grace Data and AI Platform to accelerate the response to COVID-19. The Grace AI Platform comes preloaded with a range of public data sets and standard AI models. In addition to the Grace AI Platform, 2021.AI will offer access and free data science expertise, training, and support for AI model development. Also, 2021.AI announced that Neural, a Danish data science organization, is joining its initiative to speed COVID-19 research and collaboration. Neural’s members bring cross-disciplinary competencies within data science and medicine.
BrainChip Holdings Ltd. announced that it will be introducing its AKD1000, an event-based neural-network IP and NSoC device, to attendees of a session titled “AI for Ultra-Low-Power Applications,” to be delivered at the Linley Fall Processor Virtual Conference on April 6. (Interested parties can register here.) The device enables AI capability in edge AI systems at ultra-low power consumption. The AKD1000’s neural processor can run a standard convolutional neural network (CNN) by converting it into event-based, allowing it to implement transfer learning and incremental learning on the chip. The same neural processor can also train and run spiking neural networks (SNNs) natively.
DataRobot announced enhancements to its enterprise AI platform, including AI Applications, Automated Deep Learning, and Visual AI. These new introductions further unlock the value of AI by putting the power of AI into the hands of more users and making it simpler to build and deploy deep learning models. Additionally, DataRobot has unveiled enhancements to MLOps, Automated Time Series, and DataRobot Paxata.
Hazelcast announced the availability of Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service designed to improve the performance, security, and ease of management of cloud-based applications. Featuring built-in security and a cloud-agnostic architecture, Hazelcast Cloud Enterprise exceeds the speed, scale, security, and high-availability capabilities of existing commoditized cloud data store services today, especially for large-scale enterprise deployments.
Lunit, a medical AI software company that develops AI-powered analysis of lung diseases via chest x-ray images, today announced that it will be releasing its Lunit INSIGHT CXR software online, free of charge, to help healthcare professionals manage coronavirus. Lunit INSIGHT CXR is a state-of-the-art AI solution for chest x-ray analysis, detecting ten different radiologic findings, including lung nodule, consolidation, and more with 97% to 99% accuracy. As of March 2020, Lunit INSIGHT CXR has analyzed more than three million chest x-ray images from over 80 countries around the world.
Dell EMC and Comet, the meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet’s meta machine learning platform. The Dell EMC solution is based on a reference architecture that uses Dell EMC AI-Enabled Kubernetes solution backed by Canonical’s Charmed Kubernetes and Kubeflow. With Dell EMC PowerEdge reference architectures, organizations can deploy artificial intelligence workload-optimized rack systems approximately six to 12 months faster than it would have taken to design the correct configurations and deploy the solution.
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