Computer vision is the field of AI that lets software interpret images and video. Typical tasks are classifying objects, detecting defects, reading text and tracking movement.
Data labeling is adding correct answers, such as categories, tags, boxes or ratings, to raw examples. The labelled data is then used to train or evaluate a machine learning model.
Deep learning is a type of machine learning that uses neural networks with many layers to learn complex patterns. It excels with large amounts of unstructured data such as images, audio and text.
Edge AI is running machine learning models directly on devices or local hardware instead of a cloud server. Phones, cameras, vehicles and factory gateways are typical hosts.
Multimodal AI refers to models that can take in and reason across more than one kind of data, such as text, images, audio and video, within the same task.
A transformer is a neural network architecture that uses attention to weigh the relationships between all parts of an input. It is the basis of most modern language models.
A clear proven process, that delivers
You've seen our ideas - now go deeper.
Discover more insights, guides, and engineering practice.