Abstract: Video object detection is a fundamental and important task in computer vision. One mainstay solution for this task is to aggregate features from different frames to enhance the detection on ...

Caitlin Clark was ruled out for the season by the Indiana Fever. She played in just 13 games as four injuries caused her to miss significant time. The ruling gives Clark a lengthy runway to make a ...

Right now, the author of an MCP server has to specify exactly one transport that the MCP server supports. But what if the MCP server supports multiple transports? For example, I developed an MCP ...

PHOENIX — Garrett Whitlock retreated to the Red Sox clubhouse after logging a massive five-out relief effort Sunday, and watched gleefully as his teammates exploded for an unlikely three-run rally to ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Credit...Nishanth Radhakrishnan and Zishaan A Latif for The New York Times Supported by By Lulu Garcia-Navarro As we get older, we often struggle to understand the ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

The quirky, wide-eyed monster collectibles from Pop Mart have taken over toy shelves, TikTok feeds and keychains across the globe. But as demand skyrockets for the mischievous little creatures, so too ...

The European Union’s Artificial Intelligence Act, known as the EU AI Act, has been described by the European Commission as “the world’s first comprehensive AI law.” After years in the making, it is ...

Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...