Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, making it fundamental to medical research. As assays evolve to capture more ...

Power delivery now spans stacked dies, interposers, bridges, and packages connected by thousands of micro-bumps and TSVs.

As hyperscalers and data center developers race to meet surging AI-driven demand, speed to market is paramount – which means ...

ThinkLabs AI has raised $28 million with backing from NVIDIA and energy investors to help utilities modernize power-grid planning with AI-powered simulation.

Learn why data quality is critical for modern data pipelines, how validation should extend beyond staging, and how to build ...

Embedded intelligence enables a system to respond to critical events before they cause failures in runtime applications.

Transportation Engineer and a member of the Ghana Institution of Engineering (GhIE), Yaa Amanua Osafo has highlighted the ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

Fraud prevention is often described as a data problem, a tooling problem, or a workflow problem. But underneath those layers, ...

ThinkLabs AI, a spin-off from GE Vernova, which has raised $28 million, including from Nvidia, is using deep learning to ...

With the timsTOF Ultra, researchers can now dive into single-cell metabolomics in plants, offering a clearer, more detailed look at how alkaloids are made and where they’re coming from.

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 ...