AI experts believe AI will advance to artificial general intelligence (AGI) by 2040. One path is an S-curve of AI ...

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

To effectively map local features of tiles to the corresponding adjacency matrix, a graph neural network is employed. This trained model is used to predict short violations at the placement stage.

The rapid identification of respiratory virus outbreaks is needed to enable rational and effective public health interventions. We developed new quantitative approaches for simultaneous ...

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

Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...

OXLC’s RIC structure forces high payouts but erodes NAV, making long-term buy-and-hold strategies risky and often ...

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

Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

In this letter, we consider the Multi-Robot Efficient Search Path Planning (MESPP) problem, where a team of robots is deployed in a graph-represented environment to capture a moving target within a ...