Computer Sciences

Large sequence models for sequential decision-making

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.

Computer Sciences

Researcher creates VR sequences to test eyewitness statements

Eyewitness statements are one of the key sources for identifying perpetrators—and one of the most error-prone. For example, the Innocence Project—an organization that works to clear up miscarriages of justice in the U.S.—states ...

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