Knowledge Lens assists manufacturers and industries with Artificial Intelligence (AI), Industrial IoT, Big Data, and other technologies that help transform enterprises into Industry 4.0-grade operations. This brief highlights how Knowledge Lens worked with the AI Builders team to utilize OpenVINO optimization for multiple use cases we have incredible improvement in performance while not compromising accuracy.
MaxQ AI uses the phrase ‘Data Industrialization’ to represent the end-to-end life cycle for data mining and treatment in support of software-based medical devices. This white paper explores the methods MaxQ uses to help ensure the utmost security during Data Industrialization within the use of their products.
This Solution Brief highlights how Intel optimizations of Winning Health’s Bone Age Assessment (BAA) model helped greatly reduce image analysis time enabling large scalability of SaaS solution for hospitals and clinicians on cloud platforms.
This solution snapshot illustrates how Yellow Messenger virtual assistant needed to inference an intent classification model in under 100 ms to provide customers with optimal experiences. Optimizing Yellow Messenger’s intent classification model on 3rd Gen Intel® Xeon® Scalable processors reduced inferencing time to less than 100 ms. Optimization cuts latency and speeds throughput, delivering real-time, intelligent responses for optimal customer experiences.
This solution snapshot illustrates how accelerating tuning on 2nd Gen Intel® Xeon® Scalable processors allowed
Nordigen needed to reduce the hyperparameter tuning time for their XGBoost model (part of the Scoring Insights product suite) in order to streamline their model search efforts. Nordigen to expand the parameter space and even run faster on 3rd Gen Intel Xeon Scalable processors.
This white paper discusses ACCIPIO, a software device designed to be installed within healthcare facilities’ radiology networks to identify and prioritize NCCT scans based on algorithmically identified findings of acute intracranial hemorrhage (aICH).
This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.
This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.
This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.
This snapshot shares the success achieved from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo