Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, sadness, and disgust. In contrast, real news articles were more likely to elicit ...

Renesas’ RA8P1 AI MCU combines Arm Cortex-M85 and M33 cores with the Ethos-U55 NPU, delivering AI performance up to 256 GOPs.

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...