In the mid-2010s, as computing and other digital technologies matured (Brynjolfsson and McAfee 2014), researchers began to speculate about a new era of innovation—with artificial intelligence (AI) as the standard-bearer of a “Fourth Industrial Revolution” (Schwab 2015) . . .

The progress in generative AI, particularly large language models (LLMs), opens new prospects in design and manufacturing. Our research explores the use of these tools throughout the entire design and manufacturing workflow. We assess the capabilities of LLMs in various . . .

GenAI may enable computers to create drugs or sustainable materials. But impact in chemistry happens further downstream, following synthesis, testing, and scale-up. We propose paths for closing this execution gap and creating powerful, safe AIs that can realize novel chemicals.

There has been widespread optimism that artificial intelligence (AI) applications can transform medical care, improving patient treatment and reducing administrative burdens for hospitals and clinicians . . .

Intricate historic interweaving of textile manufacturing and digital technologies opens unlimited transformational opportunities at the dawn of the new ear of artificial intelligence. . .

This impact paper presents a vision for the integration of generative AI into the physical sciences, emphasizing the critical role of interdisciplinary collaboration and educational initiatives to fully harness the benefits of this intersection.