DeepSeek uses an approach called test-time or inference-time compute, which slices queries into smaller tasks, turning each into a new prompt that the model tackles. Each step requires running a ...

"The use of neural networks in the model allows us to detect this type of marker in a ... each based on a different neural network. This is the first time that a complete solution has been given to ...

SMAC offers a robust and flexible framework for Bayesian Optimization to support users in determining well-performing hyperparameter configurations for their (Machine Learning) algorithms, datasets ...

Gold price hit new multi-week high early Wednesday, in extension of Tuesday’s 1.4% advance, with near-term action being well supported by strong safe haven demand on fresh uncertainties over ...

Dave's business model relies on voluntary tips and processing fees, raising concerns about its competitive advantage and revenue sustainability. The company's revenue growth is limited by fixed ...

The European Central Bank has said further reductions are likely but a cautious approach was warranted because of prevailing uncertainties. Instead of using interest rates, Singapore manages ...

Researchers at the University of Chicago have developed a brain network model that can predict ... Surprise is higher when belief about who is going to win the game changes, informed by scores ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

The main goal of this study is to develop a 5G network security mitigation model (5GN-SMM) that leverages the predictive capabilities of ANN and the analysis of ISM to identify and mitigate security ...

a key node identification model based on Graph Convolutional Networks (GCN), named KNIGCN, is proposed. Specifically, the topology model of UAV cluster network is firstly built based on Flying Ad Hoc ...