Spatial transcriptomics is an advanced technique that analyzes gene expression within tissue sections, such as those from the ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as ...

Spatial infrastructure allows governments to take their geospatial data out of silos and optimize it for practical use.

Traditional methods of understanding public sentiment in cities such as surveys and interviews often lack scale, timeliness, ...

Are you passionate about using data and analytics to improve cities and solve spatial problems? The MSc in Geographic Data Science and Spatial Analytics will help you to achieve your ambitions. Join a ...

Google has developed an AI model that gives humanoids and other robots more intelligence—and a tool designed to give them a ...

optical and radar remotely sensed data are just some of the numerous types of data that are continuously collected at different spatial and temporal scales. By means of model-data fusion it is ...

The AI model employs a hybrid deep learning approach combining convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures. CNNs extract spatial features from EEG data, while ...

analysis or modeling of data in a geographic area based on pre-established and computerized criteria and standards. Spatial analysis is a process of modeling, examining, and interpreting model ...

Investing.com -- Google (NASDAQ: GOOGL) DeepMind has announced the introduction of two new artificial intelligence models, ...