This week in AI & Machine Learning: Teaching dogs with ML, Azure in space, TensorFlow 3D, building object detection datasets, Swift for TensorFlow shuts down, and more
Sixgill Tip of the Week: Save time labeling complex objects by using the track forward and smart polygon selection features in Sense Data Annotation. Label objects in one frame and they will be automatically tracked and labeled in the next! Sign up now and get started today free of charge. No credit card required.
A couple of researchers from Colorado State University used computer vision and a NVIDIA Jetson Nano to automatically reward a dog treats if it followed commands correctly. This fun project does a great job demonstrating the complexity of collecting data, data annotation, machine learning, and edge deployment.
Microsoft Azure’s cloud computing services and Hewlett-Packard Enterprise are attempting to deliver on artificial intelligence and edge computing capabilities to the International Space Station. The new machine learning capabilities can be used to help make predictions across a wide variety of problems that could help with space travel. We won’t be seeing HAL 9000 yet.
The artificial intelligence in agriculture shows no signs of slowing! With recent reports indicating it could be a 11.2 billion dollar industry by 2030. If you’re interested in understanding the agriculture market use cases, checkout Sixgill’s agriculture with artificial intelligence solution page to learn more.