Answering SPJA queries under differential privacy (DP), including graph-pattern counting under node-DP as an important ...

Abstract: Graph neural networks (GNNs) have shown great promise in few-shot learning, where they typically represent the entire feature of a sample as a node. However, this approach can overlook finer ...

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models ...

The University of Engineering and Management (UEM), Kolkata, is gearing up to host Ureckon’25, the largest techno-management ...

Researchers developed MARBLE, a geometric deep learning method that identifies shared brain activity patterns across ...

近期，以宇树机器人、深度求索DeepSeek等人工智能企业为代表的杭州“六小龙”出圈，“六小龙”之一的群核科技也于昨日正式向港交所递交招股书。由 ...

Before the term artificial intelligence was coined in 1955, there were glimmers of AI’s potential in folklore, fiction, and the early engineering feats of the 19th and early 20th centuries. These ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

The need to manage large fleets of autonomous vehicles and drones continues to grow.  Unfortunately, the systems in place today require a lot of effort and computational power. Additionally, these ...

NXP is to buy US edge AI chipmaker Kinara for $307 million. Kinara specialises in energy-efficient neural processing units ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...