As one of main application fields, the medical and healthcare industry has a soaring demand for AI technology and is increasing investment in it. To promote “healthcare + AI” and help to build a smart healthcare ecosystem, Winning Health Technology Group Co., Ltd., AMAX and Intel have made extensive cooperation in AI application. This case study describes how the three parties have successfully innovated and optimized the application of AI-assisted devices in healthcare scenarios, further driving AI application in the medical industry.
Intel, Winning Health and AMAX jointly optimize AI-aided medical system to empower smart healthcare
October 26, 2021 by Leave a Comment
Using Inference Engines to Power AI Apps Audio, Video and more
June 20, 2019 by
With the demand for intelligent solutions like autonomous driving, digital assistants, recommender systems, enterprises of every type are demanding AI powered – applications for surveillance, retail, manufacturing, smart cities and homes, office automation, autonomous driving, and more coming every day. Increasingly, AI applications are powered by smart inference-based inputs. This sponsored post from Intel explores how inference engines can be used to power AI apps, audio, video and highlights the capabilities of Intel’s Distribution of OpenVINO (Open Visual Inference and Neural Network Optimization) toolkit.
Making Computer Vision Real Today – For Any Application
February 25, 2019 by
With the demand for intelligent vision solutions increasing everywhere from edge to cloud, enterprises of every type are demanding visually-enabled – and intelligent – applications. Up till now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s changed with the introduction of Intel’s Distribution of OpenVINO toolkit.
Putting Computer Vision to Work with OpenVINO
February 13, 2019 by
OpenVINO is a single toolkit, optimized for Intel hardware, that the data scientist and AI software developer can use for quickly developing high-performance applications that employ neural network inference and deep learning to emulate human vision over various platforms. “This toolkit supports heterogeneous execution across CPUs and computer vision accelerators including GPUs, Intel® Movidius™ hardware, and FPGAs.”
