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Smart Agriculture Competition is an annual greenhouse challenge and agricultural productivity competition launched by the largest agriculture technology platform Pinduoduo to encourage the use of data-driven tools to improve agricultural productivity and environmental sustainability. [1] [2] [3]
Embark NYC, the mass transit application which won Best Mobility App in the NYC BigApps 3.0 competition, received investment from BMW i Ventures in 2012 and was acquired by Apple in 2013. [3] Yet like many app competitions driven by government data, many of the winning apps have not developed into viable companies.
Research has been completed on how competition can improve research performance. Companies like JPMorgan Chase also run internal contests involving large numbers of employees. [2] Examples of data science competition platforms include Bitgrit, [3] Correlation One, Kaggle, InnoCentive, Microprediction, [4] AIcrowd, [5] and Alibaba Tianchi. [6]
The Intel AI Global Impact Festival is an international annual competition held by Intel Corporation [2] for school, and college students with prizes upwards of $15,000. It is about artificial intelligence technology. There are two age brackets in this competition, 13-18 Age Group, and 18 and Above Age Group.
Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
The goal of the Hutter Prize is to encourage research in artificial intelligence (AI). The organizers believe that text compression and AI are equivalent problems. Hutter proved that the optimal behavior of a goal-seeking agent in an unknown but computable environment is to guess at each step that the environment is probably controlled by one of the shortest programs consistent with all ...
The M2-Competition was organized in collaboration with four companies and included six macroeconomic series, and was conducted on a real-time basis. Data was from the United States. [1] The results of the competition were published in a 1993 paper. [6] The results were claimed to be statistically identical to those of the M-Competition. [1]
Jeremy Howard (born 13 November 1973) is an Australian data scientist, entrepreneur, and educator. [1] He is the co-founder of fast.ai, where he teaches introductory courses, [2] develops software, and conducts research in the area of deep learning. Previously he founded and led Fastmail, Optimal Decisions Group, and Enlitic.