As they scramble to keep their systems online, AI companies are making things expensive for the rest of us. Large language ...

Model misspecification is a common challenge in population genetic inference, as oversimplified mathematical models often fail to capture complex evolutionary processes. Here, we introduce a framework ...

For many, self-control is synonymous with impulse inhibition: effortfully exerting willpower to overcome automatic desires. Recently, some researchers have proposed alternatives that de-emphasize or ...

We further applied exponential random graph models (ERGMs) to assess how channel type, frame, and their interaction influence the formation of ties. Results: The Pro-Ana Advocacy frames were primarily ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this study, the synergies of GCN and LSTM are leveraged to ...

🚩 2024/4/1: Some researchers have introduced the recently popular Mamba model into the field of time series forecasting, which can be found in the SSM (State Space Model) table. 🚩 2024/6/7: I will ...

Efficient and accurate reconstruction and identification of tau lepton decays plays a crucial role in the program of measurements and searches under the study for the future high-energy particle ...

Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, with variability arising from at least three sources: hierarchical, contextual, and stochastic. What ...