Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Enterprises across industries, from energy to finance, use optimization models to plan complex operations like supply chains and logistics. These models work by defining three elements: the choices ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

TEL AVIV, Israel, Dec. 10, 2025 (GLOBE NEWSWIRE) -- Israeli start-up LightSolver, inventor of a new laser-based computing paradigm, today announced that Senior Algorithmics Researcher Dr. Dani Gluck ...

RiverWare optimization can simultaneously solve over multiple reservoirs and multiple time periods with objectives such as maximizing hydropower value and balancing reservoir operations and impacts.

A comprehensive Model Context Protocol (MCP) server for solving Constraint Satisfaction Problems (CSP), Linear Programming (LP), Minimax optimization, and SciPy-powered advanced optimization problems.

Scientists have used a CPLEX-based MIP model and tested it on a section of the 10 MW Masdar City Solar Photovoltaic Plant. In their simulation, they assume the use of two robotic cleaners to operate ...

Microsoft’s Experimental Optical Computer Could Run AI Workloads With Less Energy Your email has been sent Research conducted by the Microsoft Research lab in Cambridge could contribute to the ...

Nadella took to X, formerly Twitter, saying Microsoft's "breakthrough work on an analog optical computer points to new ways to solve complex real-world problems with much greater efficiency. He added ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.