Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
Artificial intelligence has moved from pilot projects to a central role in many life sciences strategies. What began as a set ...
The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...
The world's most critical challenges are accelerating at a rapid pace. The R&D methods tasked with solving them are not—until ...
Validate learning, predict and design next-gen C-N coupling catalyst material.
The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
The companies doing this well are architecting systems where people and machines interact in designed ways, augmenting human ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
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