Fuller, Inc. announced today that Block Blast!, developed by Hungry Studio, has been selected as the winner of the App Ape Award 2025 Special Award. Hosted by Fuller, the App Ape Award is based on ...
Appen has published a new paper showing that even the most advanced large language models (LLMs) continue to struggle with culturally nuanced translation, particularly when handling idioms, puns, and ...
Abstract: In this work, we present a bio-inspired approach for home localization using event-based visual data and spiking convolutional neural networks (S-CNNs) in a simulated environment within ...
This study proposes a novel real-time vehicle localization framework designed specifically for GPS-denied environments, emphasizing heterogeneous fusion of visual and inertial information. Unlike ...
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