Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

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 ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

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

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 ...

SEOUL, South Korea, April 8, 2026 /PRNewswire/ -- Portrai, Inc. today announced it will present 11 posters highlighting its artificial intelligence and spatial transcriptomics capabilities at the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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 ...

Artificial intelligence is poised to transform medical imaging, promising faster diagnoses and greater accuracy.

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