The “CRESt” AI platform learns from many types of scientific information and runs experiments to discover new materials. The system could generate solutions to energy problems that have plagued the materials science and engineering community for decades.

The Routledge Handbook of Information History, released last month by Routledge, examines how society, politics, culture, and technology have shaped information practices over millennia. The 638-page volume co-edited by Professor Emeritus Alistair Black and Associate Professor Bonnie Mak (School of Information Sciences, University of Illinois Urbana-Champaign), Toni Weller (De Montfort University), and Laura Skouvig (University of Copenhagen)  features more than forty contributors from around the world.

Social Intelligence: The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, which was recently published by Springer Nature, provides a roadmap for tackling some of the most urgent questions of our time—how to design AI systems that are not only powerful, but fair, explainable, and deeply human-centered. The book is co-authored by Dong Wang, professor of information sciences at the University of Illinois Urbana-Champaign; Lanyu Shang, assistant professor of computer science at Loyola Marymount University; and Yang Zhang, assistant professor of computer science and software engineering at Miami University.

Dr. Jiho Shin and international collaborators outline the promise of micro-LED technology and the manufacturing challenges preventing its use in everyday devices.

a new study from UCLA finds both biological brains and AI neural networks developed similar behavioral strategies and neural representations when coordinating their actions, suggesting there are fundamental principles of cooperation that transcend biology and technology.