In partnership with PBS KIDS, this year's competition will look at advancements in early childhood education. The results will lead to better designed games and improved learning outcomes, empowering children, parents, caregivers, and educators across the globe with insights into how young children learn through media and which approaches work best to help them build on foundational learning skills. The 90-day Data Science Bowl competition will award winning participants with a share of $160,000 in cash prizes. Research shows much of the most critical brain development in children takes place before they even reach kindergarten. Child development experts indicate it is during these first 5 years that children develop linguistic, cognitive, social, emotional, and regulatory skills that predict their later functioning in many domains.

Over the last four years, more than 50,000 participants have developed and submitted over 114,000 artificial intelligence (AI) algorithms to improve everything from detection of lung cancer and heart disease, to monitoring ocean health and helping accelerate life-saving medical research as part of the annual Data Science Bowl . In partnership with PBS KIDS, this year's competition will look at advancements in early childhood education. The results will lead to better designed games and improved learning outcomes, empowering children, parents, caregivers and educators across the globe with insights into how young children learn through media and which approaches work best to help them build on foundational learning skills. The 90-day Data Science Bowl competition will award winning participants with a share of $160,000 in cash prizes. Research shows much of the most critical brain development in children takes place before they even reach kindergarten.

Imagine unleashing the power of artificial intelligence to automate a critical component of biomedical research, expediting life-saving research in the treatment of almost every disease from rare disorders to the common cold. This could soon be a reality, thanks to the fourth Data Science Bowl, a 90-day competition in which, for the very first time, participants trained deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup--and without human intervention. Algorithms developed in this competition could save researchers hundreds of thousands of hours of effort per year. This year, the competition brought together nearly 18,000 global participants, the most ever for the Data Science Bowl. Collectively, they submitted more than 68,000 algorithms and worked an estimated 288,000 hours to automate the vital, but time-consuming, process of nuclei detection.

This year's Data Science Bowl focus Anyone who is plugged into the tech world knows that AI and big data is big business right now. Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn. Big data and AI is big business, but it's also key to solving some of the world's biggest problems. One of the areas where this progress is especially exciting is in medical research--where once it took a pair of human eyes to sort through millions of cell images, we now have AI which can perform the same analyses by many orders of magnitude faster. With this in mind, Booz Allen Hamilton Holding Corporation, best known as Booz Allen, widely-renowned management and consulting and IT firm, and Kaggle, the world's largest online data science community, announced today the fourth annual Data Science Bowl.

This year's Data Science Bowl focus Anyone who is plugged into the tech world knows that AI and big data is big business right now. Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn. Big data and AI is big business, but it's also key to solving some of the world's biggest problems. One of the areas where this progress is especially exciting is in medical research--where once it took a pair of human eyes to sort through millions of cell images, we now have AI which can perform the same analyses by many orders of magnitude faster. With this in mind, Booz Allen Hamilton Holding Corporation, best known as Booz Allen, widely-renowned management and consulting and IT firm, and Kaggle, the world's largest online data science commmunity, announced today the fourth annual Data Science Bowl.

Data scientists are using machine learning to tackle lung cancer detection. Beginning in January, nearly 10,000 data scientists around the world competed in the Data Science Bowl to develop the most effective algorithm to help medical professionals detect lung cancer earlier and with better accuracy. In 2010, the National Lung Screening Trial showed that annual screening with low-dose computed tomography (CT) -- a scanner that uses computer-processed combinations of many X-ray images from different angles to generate high-contrast 3D images -- could reduce lung cancer deaths by 20 percent. While a breakthrough for early detection, the technology has also resulted in a relatively high rate of false positives compared with more traditional X-rays. An anonymized high-res lung scan from the NCI, which Data Science Bowls participants used when developing algorithms.