Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

For years educators have been trying to glean lessons about learners and the learning process from the data traces that students leave with every click in a digital textbook, learning management ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

Generative artificial intelligence (AI) has been one of the most disruptive technologies in recent years. In fulfilling higher education’s mission to equip students with lifelong skills and learning, ...

Through innovative teaching methods, students are provided with opportunities to learn by doing. Examples of active learning include hands-on exposure to engineering tools, technologies and materials, ...

In the ever-evolving landscape of K-12 education, technology tools for teaching and learning play a pivotal role in shaping dynamic learning environments. From interactive applications to ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

The rise of vibe coding—where developers depend heavily on AI to write their code—makes the time before 2010 highly relevant. Back then, the industry was defined by one type of developer: the ...