Best Machine Learning Research of 2020
2020 will be remembered as a year chock full of significant challenges, but for data science, specifically AI, machine learning, and deep learning, the march forward continued unabated. We saw excellent progress with enterprise acceptance of machine learning across a wide swath of industries and problem... Read more
NVIDIA Makes Training GANs Easier with Fewer Images
NVIDIA is closing out 2020 on a strong note with a new method for training GANs that requires significantly less data than current methods. Instead of using hundreds of thousands of images to train efficient GANs with high rates of accuracy, their new technique, adaptive discriminator... Read more
Data-Driven Artificial Intelligence (AI) for Churn Reduction
A telecommunications company was losing customers (churn rate was 49.9%) and wanted to identify why customers were leaving them. Using data-driven Artificial Intelligence (AI), the key reasons for customers leaving the business (churn) was identified and a proactive retention campaign was developed to prevent customers from... Read more
10 Compelling Machine Learning Ph.D. Dissertations for 2020
As a data scientist, an integral part of my work in the field revolves around keeping current with research coming out of academia. I frequently scour arXiv.org for late-breaking papers that show trends and reveal fertile areas of research. Other sources of valuable research developments are... Read more
Vision loss among the elderly is a major healthcare issue: about one in three people have some vision-reducing disease by the age of 65. Age-related macular degeneration (AMD) is the most common cause of blindness in the developed world. Source: Using AI to predict retinal disease... Read more
The Most Influential NLP Research of 2019
Natural language processing (NLP) is one of the most important technologies to arise in recent years. Specifically, 2019 has been a big year for NLP with the introduction of the revolutionary BERT language representation model. There are a large variety of underlying tasks and machine learning... Read more
Highlighted Machine Learning Research of November 2019
As we enter into the holiday months, research and news tend to slow down. And yet, in November alone we found some really exciting work; here is November’s highlighted machine learning research. Conclusion-Supplement Answer Generation for Non-Factoid Questions... Read more
The Most Influential Deep Learning Research of 2019
Deep learning has continued its forward movement during 2019 with advances in many exciting research areas like generative adversarial networks (GANs), auto-encoders, and reinforcement learning. In terms of deployments, deep learning is the darling of many contemporary application areas such as computer vision, image recognition, speech... Read more
Best Machine Learning Research of 2019
The field of machine learning has continued to accelerate through 2019, moving at light speed with compelling new results coming out of academia and the research arms of large tech firms like Google, Microsoft, Yahoo, Facebook and many more. It’s a daunting task for the down-in-the-trenches... Read more
Data Science News Week in Review: November 25th
Every week we’re bringing data science news to you… some highlights include reviewing Facebook’s DeepFovea AI, IBM’s Consortium for Sequencing the Food Supply Chain, and more. Read on: Facebook’s DeepFovea AI promises power-efficient VR foveated rendering In a paper released on November 18th, Facebook introduced a... Read more