The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

The middle child is out. For years, Samsung has stuck to its holy trinity formula for the Galaxy S lineup: the regular, the Plus, and the top – tier Ultra (formerly known as “we killed the Note but ...

A genome has been "loaded" onto a quantum computer for the first time, marking a milestone towards tackling some of ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Scientists who use imaging to understand the brain's complexity often focus on the strongest signals and ignore the rest. But this strategy, researchers warn, may reveal only the tip of the iceberg. A ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Understanding ocean currents is important for work such as weather forecasting, climate research, search-and-rescue ...

Students and professionals looking to upskill are in luck this month of April, as Harvard University is offering 144 free ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...