AI is moving into various new domains such as conceptual design, smaller devices and multi-modal applications -- innovations that will expand AI's repertoire in many industries.
It will improve tools for labelling data and the automatic tuning of neural net architectures
It combines language and images to generate new visual designs from a text description.
Google DeepMind made headlines with Gato, a multimodal AI approach that can perform visual, language and robotic movement tasks.
Multi-task models are different from multi-modal learning, which aims to learn a joint representation of various data types.
New AI and machine learning techniques will play a growing role in detecting and responding to cybersecurity threats.
Expect to see a growing demand for quality control aspects of these improved AI language models.
It will speed up AI development but also improve the level of accuracy with the involvement of subject matter experts
AI vendors have connected the dots between virtual models that simulate reality -- and the metaverse.