First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

The innovations of this year spanned a range of fields, including biotechnology, medicine, energy, environment, and chemistry ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Abstract: For conducting resource adequacy studies, we synthesize multiple long-term wind power scenarios of distributed wind farms by using the spatio-temporal features: spatial and temporal ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...