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Artificial Neural Networks: Learning by Doing

Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

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Breaking Through Big Data Bottlenecks

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What’s the Future of Science Twitter?

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Researchers Report Decoding Thoughts from fMRI Data

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“Xenobot” Living Robots Can Reproduce

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Deep Learning Algorithms Identify Structures in Living Cells

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Computer Program Converts Brain Signals to a Synthetic Voice

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An Algorithm to Predict the Age of Your Lab Mice

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Image of the Day: On the Wing

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Image of the Day: Spinning Webs

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Artificial Intelligence Mimics Navigation Cells in the Brain

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Image of the Day: Spammed by Hydra

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Scientists Continue to Use Outdated Methods

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Computers That Can Smell

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Page 1 of 1 - 16 Total Items

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Transform Omics Workflows with Scalable Cell Prep

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TaqMan Probe & Assays: Unveil What's Possible Together

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Meet Aunty and Tackle Protein Stability Questions in Research and Development

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Biotium Launches New Phalloidin Conjugates with Extended F-actin Staining Stability for Greater Imaging Flexibility

Long-lasting, bright F-actin staining made easy with Biotium's new ActinBrite™ High Affinity Phalloidin Conjugates.

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The Aivia 15 release includes deep learning-powered tools for 2D and 3D cell segmentation.

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Agilent BioTek Cytation C10 Confocal Imaging Reader

From confocal, widefield, and live cell imaging to multimode reading, the Agilent BioTek Cytation C10 confocal imaging reader delivers crisp, high-resolution images and the ability to image and analyze 3D samples.