High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

Abstract: In the era of hyper-uncertainty, the demand for data-driven policy making has grown significantly, as it enables the fast and accurate capture of complex phenomena. This contrasts with ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In the golden hills of Puglia, a southern region of Italy known today for its olive trees, white cliffs and turquoise mediterranean coves, Lorenzo Avello has artificial intelligence on his mind.

Non-animal framework based on new approach methodologies (NAMs) for chemical hazard identification and risk assessment. The framework comprises three modules: (1) high-throughput screening to address ...

"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction technologies rely on simulated conditions or limited datasets, making it difficult to ...

“Selenium is an essential mineral that helps to support your metabolism, immune system, and cardiovascular health,” says Nasser. “Although needed in small amounts, it’s essential for your overall well ...

Authors: Alena Klatte, Data Capability Lead, UNDP; Navya Alam, Data Exchange Specialist, UNDP; Mazen Gharzeddine, Policy Specialist, UNDP; Siddharth Peter de Souza ...