Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling.

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling. Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased ...

Varanasi: The three-day Indo-French seminar on ‘Recent Developments in Non-linear Optimization Problems and Applications and the international conference on Non-linear Optimization and Applications ...

Solow teaches the use of quantitative methods such as statistics and modeling for use in decision making to Weatherhead's MBA, master's and PhD students. Solow uses mathematical models, analysis and ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply ...

Abstract: This paper addresses the slow policy optimization convergence of Monte Carlo Probabilistic Inference for Learning Control (MC-PILCO), a state-of-the-art model-based reinforcement learning ...

Georgia Tech researchers recently presented their work at leading programming and systems conferences, focusing on static ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

In the quantum world, the notion is that the present moment is influenced by the past, but it’s also influenced by the future ...

Rockwell Automation’s vice president for automation and autonomy says every stage of manufacturing has begun to incorporate ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...