Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...
New AI agent capability delivers instant, audit-proof answers to any GTM questions grounded in governed revenue data ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
The Trump administration pushed for price transparency in health care. But instead of patients shopping for services, it's ...
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Abstract: Antialiasing seismic data interpolation algorithms can reconstruct sparse seismic data into dense data, which helps obtaining high-precision migration images and accurately locate reservoirs ...
In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual ...
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