Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Foundation models (FMs), which are deep learning models pretrained on large-scale data and applied to diverse downstream ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...

At NVIDIA’s DevSparks Pune 2026 masterclass session, attendees explored the software stack and built a Video Search and Summarization agent with NVIDIA DGX Spark, learning how compact AI systems ...

A new research paper suggests that the real challenge in scaling AI in agriculture is not technological capability, but the lack of robust, integrated, and usable data systems. The study finds that ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

ISO/PAS 8800, focused on safety of AI applications in road vehicles, can also serve engineers in medical, industrial, rail, ...

As with all streaming workflows, AI has steadily crept into the live streaming technology stack. In some cases, the impact is ...