Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...

Hyundai is hiring an AI Control Systems Engineer to build machine learning for heavy-duty towing and rough off-road trails, ...

A Bayesian-optimized Gaussian process regression framework accurately predicts the splitting tensile strength of concrete ...

To obtain a DEB model, the calibration problem must be solved: find the parameters that minimize the deviation between observed data and model predictions. While DEB model calibration is largely ...

Recruitment 2026 for 1 post of Postdoctoral Fellowship in Advanced Modelling, Digital Control, and Data Driven ...

The Indian Institute of Technology Delhi (IIT Delhi) has released the Recruitment 2026 notification for the post of Sr.

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...

Houman Zarrinkoub of MathWorks discusses the company’s vision for digital twins in RF/microwave circuit design.

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Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

An AI system coordinates laboratory instruments to conduct multi-step molecular-biology experiments with limited human ...

NASA's future engineers will need artificial intelligence skills on top of a traditional aerospace curriculum. These degree programs combine the two.