Praise Ifenna Okwuba discusses the future of AI-powered diagnostics in healthcare, emphasizing improved accuracy and patient ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

AI agents are now taking over repetitive work, identifying issues humans may miss, and helping teams maintain testing speed ...

IT pros with gen AI skills are in high demand. These certs can help you establish new career opportunities in a rapidly evolving field. Generative AI continues to disrupt nearly every industry as ...

Abstract: Smart grid (SG) engages bidirectional energy and data flow with advanced metering infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure. Of the ...

To successfully examine the brain’s functional architecture (connectome) and its behavioral associations, researchers need tools that facilitate reliable, replicable connectivity analyses. Here we ...

In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition ...

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Abstract: Terrestrial light detection and ranging (lidar) is capable of resolving trees at the branch/leaf level with accurate and dense point clouds. The separation of leaf and wood components is a ...