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As dynamic fields, what we can do with and how we apply data science and artificial intelligence is almost constantly changing and growing. Research institutions, in particular, contribute to the discovery of new innovations and applications. Right now, we are seeing a significant amount of interesting... Read more
The start of 2021 saw many prominent research groups extending the state of machine learning science to consistently greater heights. In my efforts to keep pace with this accelerated progress, I’ve noticed a number of hot topics that are gaining the attention of researchers: explainable/interpretable ML,... Read more
Research into data science and artificial intelligence is non-stop. As the world speeds up or slows down in other ways, there are always researchers looking to push the boundaries of what we can do with data, automation, and robotics. In the APAC region, including parts of... Read more
While most of the research we’ve heard about over the past year has revolved around vaccines and COVID-19, AI has seen some monumental developments as well. Europe is home to many exciting research labs and universities that are pushing the bounds of AI, machine and deep... Read more
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 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
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
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
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