Written by: Jesse Lehrke
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Why we Test: A look at the oft unspoken reasons we test ML perception

Testing is a natural step in the development of machine-learning models for use in perception components of autonomous vehicles. It is so natural, that it is unquestioned. We include it automatically, without reflection.  But …
May 11, 2023
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Avoiding Sisyphean data campaigns: The role of augmented and synthetic data

In Greek mythology Sisyphus was sentenced, as punishment for avoiding death, to roll a rock up a hill only for it to roll back down for all eternity.  The fate of Sisyphus is today …
May 2, 2023
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Recall or Update? When safety is at stake the difference is more than semantic

Tesla is currently in the midst of recalling over 300,000 of its vehicles from all its four major models. Or is it recalling anything? That is the question at the heart of a disagreement …
April 12, 2023
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A neurocat Christmas Story

'Twas the night before Christmas, and at the North Pole activity swirled,  as preparations began, for a journey to spread joy to the world. Gifts to light up children's eyes were loaded on the …
December 20, 2022
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Condensed best practices from “Security of AI-Systems: Fundamentals – Adversarial Deep Learning”

The security and safety of AI is something we all inherently recognize as important. Yet many of us don’t have a background in this topic and have limited time to learn new things or …
November 16, 2022
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neurocat to Participate in “News-Polygraph” Research Consortium to Counter Disinformation

We recently announced on social media that neurocat will participate as a member of the research consortium “News-Polygraph” to counter disinformation.  News-Polygraph is funded by the German Federal Ministry of Education and Research as part of …
September 28, 2022
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Hands on Guide to comply with ECJ ruling

In this article we want to propose a strategy on how to satisfy legal constraints AI is facing right now. The ruling of the European Court of Justice (ECJ), on the 21st of July …
August 25, 2022
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Project: BerDiBa (Berliner Digitaler Bahnbetrieb)

The BerDiBa (Berliner Digitaler Bahnbetrieb) project brings together a consortium of partners from research and industry to develop and test the core technologies for autonomous railway operations. BerDiBa is 50% funded by the state …
October 1, 2021

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