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 Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition Humans quickly and accurately learn new visual concepts from sparse data, sometimes just a single example. The impressive performance of artificial neural networks which hierarchically pool afferents across scales and positions suggests that the hierarchical organization of the human visual system... Deep learning and computer vision will transform entomology Most animal species on Earth are insects, and recent reports suggest that their abundance is in drastic decline. Although these reports come from a wide range of insect taxa and regions, the evidence to assess the extent of the phenomenon is sparse. Insect populations are challenging to study, and... Predicting transcription factor binding in single cells through deep learning Characterizing genome-wide binding profiles of transcription factors (TFs) is essential for understanding biological processes. Although techniques have been developed to assess binding profiles within a population of cells, determining them at a single-cell level remains elusive. Here, we report... More featured content News Articles How humans use objects in novel ways to solve problems It takes a lot of energy for machines to learn – here’s why AI is so power-hungry 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 Building machines that better understand human goals R squared Does Not Measure Predictive Capacity or Statistical Adequacy 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 More news