Palantir shows strong growth, but extreme valuation and retail hype make the risk high despite solid fundamentals. Find out ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

UK universities offer world-class data science programs with strong connections to the industry.Institutions such as the University of Oxford, th ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

But under the hood, it’s far more powerful than that. If you're only using it to brainstorm ideas or edit emails, you're missing out on some seriously impressive hacks that can save you time, simplify ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Nowadays, many computer and communication systems generate graph data. Graph data span many different domains, ranging from online social network data from networks like Facebook to epidemiological ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem completelySilent fan ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...