Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

This year’s Consumer Electronics Show (CES) is offering a glimpse into the future of healthcare. Spanning everything from ...

Consciousness may emerge not from code, but from the way living brains physically compute.

Abstract: This article introduces a notion of data informativity for stabilization tailored to continuous-time signals and systems. We establish results comparable to those known for discrete-time ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...