The teenager was researching the Miura-ori fold when Hurricane Helene made landfall in Florida and wildfires raged in Southern California. “I thought maybe these origami patterns, which are strong and ...

Abstract: In this paper, a novel directed graph (or digraph) model-based approach is proposed to discover visual patterns commonly shared by two images. Unlike the conventional undirected graph model ...

Perps have funding. If longs are crowded, funding turns expensive. That can force long holders to reduce exposure. Futures also have basis (futures price vs spot). When basis compresses or flips, it ...

G-SHOCK has unveiled its Origami‑Inspired Watch Series that pay homage to Japan’s centuries‑old paper art, blending cultural ...

Abstract: Heating, Ventilation, and Air Conditioning (HVAC) systems have become essential components of contemporary life, extensively employed in commercial and residential settings to ensure ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

We present evidence from a field experiment across 66 firms and 7,137 knowledge workers. Workers were randomly selected to access a generative AI tool integrated into applications they already used at ...

Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...