Regardless of unique business goals, every service provider and enterprise relies on new technologies to help them achieve their intended business outcomes, like growing revenue, reducing costs ...

Since defending his dissertation in July, Kong has been working at Harvard University as a postdoctoral fellow studying under ...

The input of the DeepTXsolver is the parameters of the mechanism model, and the output is the corresponding stationary distribution solution of the model. The input to the DeepTXinferrer is the ...

Suze Orman, financial expert and host of the Women & Money podcast, recently raised concerns about the potential impact of artificial intelligence (AI) on the Social Security system. Speaking on ...

Using a diffusion model approach similar to artificial ... an estimate of what it will be like in 12 hours. This works by ...

Objectives: This study aims to examine the role of social networks in influencing the physical and mental ... This study employs OLS (Ordinary Least Squares) estimation to examine the health of older ...

Source: SmartCompany Welcome back to Neural Notes, a weekly column where ... “The safe and ethical use of artificial intelligence can address the gaps in health data, health literacy, and ...

Abstract: We propose a pointer network-based joint routing, modulation format, and spectrum allocation (PtrNet-RMSA) scheme to optimize the network capacity in elastic optical networks (EONs).

Faster and more accurate computational material discovery methods will be required to meet our society’s renewable energy needs in the face of a rapidly changing climate. Graph neural networks are ...

We employ a neural network to choose the weights for the fusion of the two models, which makes the kinematics model fully usable. Moreover, we design a new finite memory estimation algorithm to ...