Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic environments with objects of varying stiffness or weight. To tackle this challenge, ...
This paper deals with the application of Implicit Stochastic Optimization (ISO) to determine monthly operating rules for a reservoir system located in the semiarid Northeast of Brazil. ISO employs a ...
NTT’s research division has developed what it claims to be the world’s first programmable nonlinear photonic waveguide capable of switching between multiple nonlinear-optical functions on a single ...
New paper published in Nature details NTT Research’s development of the world’s first programmable nonlinear photonic waveguide in collaboration with Cornell University and Stanford University. A ...
NTT Research announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first programmable nonlinear photonic waveguide ...
Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...
In order to improve bearing capacity and service life of marine structure using marine UHPC with coarse aggregate (UHPC-CA), it is necessary to reasonably predict the performance of UHPC-CA. The ...
Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...