Let's Reflect We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the work in this field. We'd like to bring you meaningful conversations around those systems and how we... See More Episodes arXiv Whitepapers Deep learning-enabled multi-organ segmentation in whole-body mouse scans Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prerequisite for quantitative analysis but is a tedious and error-prone task if done manually. Here, we present a deep learning solution called AIMOS that automatically segments major organs (brain, lungs... Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor... Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods The phase-field method is a powerful and versatile computational approach for modeling the evolution of microstructures and associated properties for a wide variety of physical, chemical, and biological systems. However, existing high-fidelity phase-field models are inherently computationally... More featured content News Articles Building machines that better understand human goals R squared Does Not Measure Predictive Capacity or Statistical Adequacy Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Neuroscientists find a way to make object-recognition models perform better Refugees are at risk from dystopian ‘smart border’ technology First Steps of a Data Science Project ‘Rules as Code’ will let computers apply laws and regulations. But over-rigid interpretations would undermine our freedoms Shrinking massive neural networks used to model language Understanding Time Series with R Spam Filter in Python: Naive Bayes from Scratch A neural network learns when it should not be trusted More news