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Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...