Elecrow AI Starter Kit for the NVIDIA Jetson Orin Nano turns the NVIDIA Jetson Orin Nano into a learning and educational kit ...

By default, the Termux repos aren't updated with the latest packages, which is why the first command you should run is for a ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

ZAI has launched its Open Platform featuring the GLM-4.7 language model, offering global access and API support for Python ...

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

NVIDIA’s Nemotron 3 Nano 30B features a 1M token context and 3B-active design, helping you build faster workflows and test tools locally.

This is a Python and Pyomo based implementation of the augmented ε-constraint (AUGMECON) method and its variants which can be used to solve multi-objective optimization problems, i.e., to return an ...

mlrose is a Python package for applying some of the most common randomized optimization and search algorithms to a range of different optimization problems, over both discrete- and continuous-valued ...

Abstract: Learning and optimization are the two essential abilities of human beings for problem solving. Similarly, computer scientists have made great efforts to design artificial neural network (ANN ...