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The new ECPA framework revolutionizes video captioning by aligning subtle facial movements with rich emotional vocabulary, empowering AI to accurately understand and describe human feelings.

Researchers at Penn State developed an application that provides real-time audio and vibration guidance to help users locate items in their environment without needing human assistance.

Researchers developed a system that combines human speech and pointing movements so robots can locate items in cluttered spaces with much higher accuracy than before.

Researchers at Carnegie Mellon University create much smaller computer models that still accurately predict neuron responses to images while revealing how the visual system works at a fine scale.

Researchers at KAIST have developed a memristor-based chip that learns in real-time for on-board AI applications.