“How,” crooned British pop band the Bee Gees to their fans in the 1970s, “can you mend a broken heart?” Well, those working in the field of regenerative medicine may have an answer. Focused on discovering ways to replace or regenerate organ tissues that are damaged from aging or disease, the field envisions a future … Continue reading NYU Scientists Invent New Protein for Regenerative Medicine
Although health information and demographic data is widely available , we still lack the tools to analyze, explore, and organize that data in a meaningful way. Such is why, earlier this year, the City Health Dashboard was launched. This remarkable resource is the first of its kind: the Dashboard standardizes and aggregates data on health … Continue reading The City Health Dashboard: Organizing Public Health Data
Although natural language processing (NLP) has made major strides in the last few years, to what extent can an NLP algorithm understand human sentences beyond a superficial read? Although they can computationally identify, count, or regurgitate individual words, phrases, and sentences, can they capture the meaning behind the words that they are handling? These questions … Continue reading Creating A Multi-Genre Corpus for Natural Language Inference
At last Thursday’s text as data seminar, professor Hong Yu from the University of Massachusetts Medical School explained the effort that she, along with her fellow colleagues, have made to incorporate human intelligence and cognitive functions to improve deep learning through new models. For instance, “Building an Evaluation Scale Using Item Response Theory,” is one … Continue reading Can deep learning models learn like the human brain?
Although deep convolutional neural networks can perform image object recognition in natural images, this technology still remains inapplicable for the medical industry. Medical professionals require high resolution images to make fine details visible, and the ability to view the human body from multiple angles to draw up a complete diagnosis for their patients. Enter the … Continue reading How Can Neural Networks Improve Breast Cancer Screening?
Before written language was invented, different cultures used music to communicate with each other. Investigating how these cultures exchanged musical styles is a major research area in the field of comparative musicology, and its scholars are becoming increasingly reliant on data science and machine learning techniques to help answer their research questions. For example, in … Continue reading Using Machine Learning To Characterize Singing Styles
While Google Maps is a useful enough tool for directing you up and down Manhattan’s urban grid of avenues of streets on a daily basis, what about industries who want to examine the world on a larger scale, from multiple angles, and in real-time? Enter Descartes Labs, a venture-based start-up that is gaining traction … Continue reading Descartes Labs come to CDS
What can artificial intelligence learn from biological brains? At this Wednesday’s lunch seminar series at CDS, Professor Partha Mitra from the Cold Spring Harbor Laboratory explained how he has been mapping biological brain connectivity in his Mouse Brain Architecture Project to discover how we can transfer biological brain architectures to machine brains. AI has made … Continue reading Constructing Machine Brains Using Neuroanatomy
We already know that the tone of media coverage influences people’s attitudes and opinions. But is that influence conditional? Amber Boydstun, an associate professor of political science at the University of California, Davis, addressed this question at last Thursday’s Text as Data seminar titled The Conditional Effects of Media Tone on Public Opinion: The Case … Continue reading Tracking The Tones of Media Coverage
Although financial agencies and financial instruments vary, they are underpinned by the same risk management methodology: estimate the worst-case hypotheticals to hedge against financial upheavals. Value at Risk (VaR), one quantitative risk management strategy that emerged as a solid method following the 1987 stock market crash, was heavily trusted prior to the 2008 financial crisis … Continue reading Improving Stress Tests on Financial Portfolios