The future of quantum information science and engineering promises computers with unprecedented speed and capabilities. Mikhail Lukin, an NSF-supported professor, discusses his work with neutral atom qubits, why error correction is important in quantum computing, and his journey through starting a company and moving into industry.

U.S. National Science Foundation-supported engineers are developing a bold new vision for chemical and materials discovery. Milad Abolhasani, an NSF-supported associate professor, discusses his work developing automated fluidic labs.

A workforce fluent in AI techniques will be essential to ensure U.S. leadership in artificial intelligence continues. Jeremy Waisome, an assistant professor at the University of Florida, discusses the Shark AI project, which has introduced artificial intelligence and machine learning techniques to thousands of middle school students.

Advances in fundamental technologies enable robots to collaborate with humans, as well as with other robots. David Saldaña, assistant professor in the department of computer science and engineering at Lehigh University, discusses his work developing resilient and adaptive collaborative aerial robots.

Researchers and industry are coming together to develop computer systems that can take advantage of quantum mechanics. Christopher Monroe, a professor at Duke University and co-founder of IonQ, discusses quantum computing, advances in the field and IonQ's journey from startup to being the first publicly traded quantum computing company.

The fourth state of matter, plasma, is involved in several aspects of how modern microelectronic components are manufactured. Jeremiah Williams, a professor at Wittenberg University and a program director at the U.S. National Science Foundation, discusses how plasmas are used in semiconductor manufacturing and how understanding plasma physics spurs industrial innovation.

Metamaterials are a special class of engineered materials, designed to have properties not found in nature. Glaucio Paulino, a professor at Princeton University, discusses his work on developing modular chiral origami metamaterials, engineering control approaches and the ways they might benefit society.

U.S. National Science Foundation-supported researchers are accelerating artificial intelligence technologies. Mingyi Hong, a professor at the University of Minnesota, with affiliation with AI-LEAF National AI Institute, and an NSF-funded researcher, discusses AI reinforcement learning strategies and the challenges of training experts.