Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.
An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features.
Scientists like Grace Lindsay, computational neuroscientist at New York University, use ANNs to study how the brain works and to analyze image data. In an interview with The Scientist, Lindsay explains the basic structure and function of ANNs.
Read the Brush Up Summary to learn more about artificial neural networks.
The liquid world of fetal development provides a rich source of nutrition and protection tailored to meet the needs of the growing fetus.
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In this half-day virtual summit, a series of presentations will explore the scientific, regulatory, and operational factors impacting the use of in vitro NAMs in drug discovery.
In this webinar, scientists will discuss innovations that are unlocking new insights into immunity.
In this webinar, Magdalena Pacewicz will highlight how to use AUC to characterize AAVs as part of ensuring regulatory compliance.
In this webinar, Andre Mueller will discuss how scientists characterize therapeutic proteins in different formulations and spot the effects of excipients on protein stability.
Designed to balance ease of use, cost efficiency, and reproducible data, which are critical requirements for successful high-throughput screening campaigns
Automated Twist NGS library preparation workflows available on SPT Labtech’s firefly platform via the firefly cloud
System strengthens Taiwan’s capabilities in protein drug discovery research
The Transferpette® pro expands the Transferpette® family, offering scientists even greater flexibility to match their pipetting preferences and workflow requirements.
