For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Vision-and-Language Navigation (VLN) is a dynamic interdisciplinary field at the interface of computer vision, natural language processing and robotics. It involves the design of autonomous agents ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...

Today's business users rely on a collection of reports and dashboards to better understand the data underlying their operations. These tools are most often designed by IT organizations, which use ...

In an era dominated by voice-controlled devices, voice assistants have transformed how we interact with technology. These AI-driven systems, which leverage natural language processing (NLP), allow ...