Abstract: Software reverse engineering plays a crucial role in identifying design patterns and reconstructing software architectures by analyzing system implementations and producing abstract ...

A multicolored 3D model of an enzyme binding double-stranded DNA against a light purple background Computational enzyme design could allow for reactions not seen in nature. Credit: Ian Haydon ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. No game has ever managed to make the sheer scale and nanosecond synchronicity of automation games ...

This issue is similar to Issue 2 but focuses on creating additional unit tests for the Factory Method pattern. The goal is to cover more scenarios, including different game types or edge cases. Create ...

Define an interface for creating an object using the Factory Method Pattern, but let subclasses decide which class to instantiate. This creational design pattern lets a class defer instantiation to ...

Rendered model showing a complex 3D structure made up of thousands of repeating microscopic patterns. By teaching an AI model to predict the behavior of these patterns, the Drexel team can design ...

As AI agents evolve beyond simple chatbots, new design patterns have emerged to make them more capable, adaptable, and intelligent. These agentic design patterns define how agents think, act, and ...

What if the key to building AI systems that are not only powerful but also trustworthy lies in a set of repeatable design principles? As artificial intelligence continues to shape industries and ...

Police stand guard in front of a Tesla dealership as protesters attend the Tesla Takedown Global Day of Action, in Berlin, Saturday, March 29, 2025. [AP Photo/Ebrahim Noroozi] When Elon Musk opened ...

The Design-Build model is an increasingly attractive project delivery method, offering benefits such as enhanced control, reduced risks, cost efficiencies, and quicker completion times. Central to ...

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...