Engineering and research communities are rapidly integrating AI into control system design, merging physics-based modeling, data-driven algorithms, and productivity tools to create faster, more ...
Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...
Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
At Kennesaw State University, learning about nuclear energy isn’t limited to textbooks and lectures. Researchers are ...
If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.
A new systems design toolset aims to create a unified user experience for board designers while adding cloud connectivity and artificial intelligence (AI) capabilities, which will enable engineers to ...
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