Apple launched a new version of Create ML at WWDC, its worldwide developers conference:
The new, user-friendly Create ML app lets you build, train, and deploy machine learning models with no machine learning expertise required. Create ML lets you view model creation workflows in real time. You can even train models from Apple with your custom data, with no need for a dedicated server.
Create ML has built-in support for training machine learning models for object detection, activity and sound classification, and recommender systems. App developers can take these trained models and deploy them inside their apps using Apple’s Core ML APIs. The latter can now also train models on-device, enabling personalized machine learning models for iOS app users. More:
Related, Nvidia launched its own edge intelligence platform, EGX. These new low-cost, low-power chips can be deployed “from factory floors to store aisles” to analyze data without having to send it to a central server farm:
EGX starts with the tiny NVIDIA® Jetson Nano™, which in a few watts can provide one-half trillion operations per second (TOPS) of processing for tasks such as image recognition. And it spans all the way to a full rack of NVIDIA T4 servers, delivering more than 10,000 TOPS to serve hundreds of users for real-time speech recognition and other complex AI experiences.
I’m super excited for the future that chips like this will enable: for example, imagine hundreds low-cost video cameras that can be deployed throughout an area to detect anomalies (fires, leaks, break-ins, etc.), with the advantages of preserving privacy (the raw video never has to be centrally stored) and needing only a weak network connection (the device can just send an “I detected this!” signal instead of a full video stream for server-side analysis). More: