Grants and Contributions

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

Germany BMWi FLAIROP project led by Karlsruhe Institute of Technology (Germany) to develop an international federated learning system in robotic picking and placing of unknown objects.

The goal is to boost current AI solutions with more data while preserving privacy regulations. The goal is to gain more knowledge of how to advance the use of AI in the manufacturing data picking space.

The ‘black box’ problem in Artificial Intelligence represents one of the greatest business and societal risks of our time. The question of how deep neural networks make their decisions has plagued both academics and enterprises alike. While neural networks behave in ways that reflect the data they are trained against and the human labelers who annotate that data (incorporating selection and human biases along the way), it remains unclear how they reach particular conclusions.

Our team hopes to convert the intangible concepts of explainability into concrete tools that help deep learning designers and developers in the early stages of development.

The purpose of this Canadian International Innovation Program (CIIP) contribution agreement is to support organizations and to identify specific projects or partnerships between the Recipient and international partners in CIIP target countries that could lead to industrial research and development cooperation with potential for commercialization.

The DarwinAI Data Auditing Project aims to develop a new feature to reduce the manual labour and guesswork required when analyzing deep learning model errors that need to be corrected with training data. We are developing a proprietary algorithm to automatically group images by the model’s own interpretation, rather than by simple visual criteria, in order to provide better insights on the root cause of the errors.This project would accelerate a smart way to cluster errors thereby increasing our platform’s marketability.

The focus of this project is for DarwinAI to export its services to customers in Europe by sending representatives to attend conferences and meet with prospective companies in automotive, aerospace, and consumer electronics.

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