Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

What if the mechanical properties of a cell could be programmed like the components of a machine? Researchers at the ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s deep scientific roots.

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of a ...

Adaptive Dynamic Programming (ADP) has emerged as a powerful framework for the design of optimal control policies in nonlinear dynamical systems, particularly when precise mathematical models are ...

Global optimization of nonlinear mixed-integer programming (MINLP) addresses decision problems in which some variables are constrained to take integer values, while the objective function or ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

Abstract: We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. A quantum ...