Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
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 ...
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 ...
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-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 ...
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 ...
Natural language processing (NLP) and speech processing at RIT is a research-active area led by Dr. Cecilia Alm’s and Dr. Marcos Zampieri’s laboratories. The groups’ research projects, supported by ...
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