We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

The massive energy demands of modern AI models are driving tech giants to look toward space. While the hurdles—from cooling to radiation—are immense, companies are thinking in decades rather than ...

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IBM was early, you might argue too early, to AI. Now, CEO Arvind Krishna thinks big bets like Watsonx and quantum computing will start to pay off. is editor-in-chief of The Verge, host of the Decoder ...

Abstract: Activity patterns provide valuable insights into activity-based travel demand modeling and understanding human mobility. However, challenges often arise in accurately recognizing activity ...