Developing trading strategies to identify and take advantage of inefficiencies is challenging. Even if a strategy is profitable now, it may not be in the future, and market volatility makes it impossible to predict the profitability of any given trade with certainty. As a result, it can be hard to distinguish good luck

The precisionFDA calls upon the scientific and analytics communities to develop innovative and user-friendly approaches to improve the understanding of the relationship between personalized immune repertoires and COVID disease-relevant phenomena and their associated external factors by accurate interpretation of rapidl

The U.S. Department of Energy’s (DOE’s) Office of Fossil Energy (FE) “Science-informed Machine Learning to Accelerate Real Time Decisions in the Subsurface” (SMART) Visualization Platform (VP) Challenge prize competition aims to develop an intuitive data visualization tool for the subsurface environment that ca

The Indo-German Startup Week is initiated by the German Indian Startup Exchange Program and is powered by SAP between 7th and 11th December. This Pitch Marathon presents innovation challenges presented by the business partners, leading each of the focus sectors – Advanced Analytics by SAP, Intelligent IoT by Bosch E

The National Geospatial-Intelligence Agency (NGA) is the nation's primary source of geospatial intelligence (GEOINT). Currently, geolocating the source of video and audio recording on Earth is difficult. NGA seeks to determine if locations can be classified using machine learning methods based on sound. NGA seeks a

The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out

CDP is a global non-profit that drives companies and governments to reduce their greenhouse gas emissions, safeguard water resources, and protect forests Develop a methodology for calculating key performance indicators (KPIs) that relate to the environmental and social issues that are discussed in the CDP survey d

This competition uses NFL’s Next Gen Stats data, which includes the position and speed of every player on the field during each play. You’ll employ player tracking data for all drop-back pass plays from the 2018 regular season. The goal of submissions is to identify unique and impactful approaches to measure defens

Manchester City F.C. and Google Research are proud to present an AI football competition using the Google Research Football Environment. In this competition, you’ll create AI agents that can play football. Teams compete in “steps,” where agents react to a game state. Each agent in an 11 vs 11 game controls a s

The ridesharing company Lyft started Level 5 to take on the self-driving challenge and build a full self-driving system. They’re challenging you to predict the motion of these traffic agents. In this competition, you’ll apply your data science skills to build motion prediction models for self-driving vehicles. Y