Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Toward experiment-guided AlphaFold: Researchers overcome AI tool's single-conformation limitation

The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
IEEE

Deep Reinforcement Learning for Energy Management in Hybrid Electric Vehicles With Softmax Double-Actor Regularized Critics

Abstract: Enhancing fuel efficiency in hybrid electric vehicles (HEVs) requires energy management strategies (EMSs) that can operate effectively under nonlinear powertrain dynamics and uncertain, time ...
IEEE

Hardware-Oriented and Precisely Approximated Online Softmax for Deep Learning Models

Abstract: Implementing deep learning models in hardware is important for expanding their range of applications to edge environments. However, the softmax function, which is widely used in deep ...
The Lancet

Transcriptomic signatures during normothermic liver machine perfusion correspond with graft quality and predict the early graft function

aOrganLife Organ Regeneration Centre of Excellence and Daniel Swarovski Research Laboratory (DSL), Department of Visceral, Transplant and Thoracic Surgery, Centre of Operative Medicine, Medical ...
Purdue University

Master of Science in Artificial Intelligence (AI)

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...