Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

REY] is supporting the global retailer Otto Group in implementing a central, AI-driven virtual control system for intelligent robotic orchestration. Developed as part of a strategic collaboration ...

Discover the leading conversational AI platforms transforming enterprise customer interactions in 2026 with advanced features and capabilities.

With the increasing penetration of photovoltaic (PV) systems into power grids, the accurate diagnosis of PV array health has become critical for ensuring the stable operation of power systems. To ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

A new technical paper titled “Hardware Implementation of Ring Oscillator Networks Coupled by BEOL Integrated ReRAM for Associative Memory Tasks” was published by researchers at IBM Research Europe and ...

Driven by artificial intelligence (AI), cloud computing, and the digital transformation, U.S. data centers consumed an estimated 150 TWh of electricity in 2023—equivalent to around 3% of the nation’s ...

Department of Chemical Engineering, Sargent Centre for Process Systems Engineering and Institute for Molecular Science and Engineering, Imperial College London, London SW7 2AZ, U.K.