fbpx
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 models powering NLP... 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 are the best six pieces of machine learning research in November we read. Conclusion-Supplement Answer... 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 recognition, natural language... 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 data scientist to... 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 human-like “peripheral vision”... Read more
7 AI Research Labs in Europe Leading the Data Science Community
In the past, we’ve highlighted some West Coast AI research labs that we think are doing some really incredible work. Now, in an attempt to look past the dominating presence of Silicon Valley, we’re turning our focus overseas and taking a closer look at some of the cutting-edge Europe... Read more
Most Influential Data Science Research Papers for 2018
As an academic researcher in a previous life, I like to maintain ties to the research community while working in the data science field. I feel that a firm understanding of the origins for the technologies I use in my consulting work: AI, machine learning, and deep learning, helps... Read more
Self-Driving Cars, Generated News Among Top Data Science Research
Self-driving cars. Less biased crowdsourced data. Automatically generated historical accounts. These are some of the topics data science researchers across the world tackled and published to the arXiv research aggregator out of Cornell University Library in October. Learn... Read more
AI-Identified Health Policies, Hate Speech Detection Among September Industry Research
September has been an impressive month for data science research. Here, we highlight a few innovative and explosive studies released on the arXiv research aggregator out of Cornell University Library. This research dives into some of the most important facets of data science today, including deep learning, machine learning,... Read more
Analyze a Soccer Game Using Tensorflow Object Detection and OpenCV
Introduction The world cup season is here and off to an interesting start. Whoever thought the reigning champions Germany would be eliminated in the group stage 🙁 For the data scientist within you, lets use this opportunity to do some analysis on soccer clips. With the use of deep learning... Read more