Neurocat was awarded with the VisionAward 2021 at MedienTage Munich. VisionAwards have been given to young and established companies and entrepreneur...
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General
dSPACE Acquires Inte...
dSPACE, an internationally leading provider of simulation and validation solutions for the development of networked, self-driving, and electric vehicl...
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Neurocat accepted on...
Neurocat has been accepted into the NVIDIA AI Inception program! Being recognized by one of the giants in AI space showcases the potential of our soft...
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Papercat Thursday 12...
Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount impo...
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1E9 Interview Tarek ...
Making AI models robust against adversarial attacks, unboxing the black-box models to make their decision-making process more explainable, and also wo...
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Most Promising Germa...
Neurocat was voted one of the 247 most promising German AI startups by the initiative for applied artificial intelligence. We are pleased to be part o...
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Decision Boundary
State-of-the-art neural networks are vulnerable to adversarial examples. This major problem for the safe deployment of ML models arises when minor inp...
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Times of Growth
Since the beginning of 2019, neurocat’s manpower has more than doubled. With all teams growing fast, we significantly expanded our office space. Luc...
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Techcode Pitch Won
The world’s leading trade show for industrial technology and AI: Hannover Messe, Germany. With 6,500 exhibitors and over 250,000 visitors, it’...
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Robustness Verificat...
Two of our cats are soon going to give a talk about the current status of duality-based adversarial robustness verification. The content will strongly...
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Interview Adlershof-...
What is growth? The Adlershof Journal examined beliefs about growth and interviewed us about AI security and our personal growth story. After a conver...
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Website launched
After a year of hard and exciting work the time has come for a first small website! Today we launched the first version of the site and plan to fill i...
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Physical Adversarial...
One of the biggest obstacles to the confidence-inspiring use of deep neural networks in production (like, for instance, in autonomous vehicles) are ad...
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Adversarial Examples
Deep neural networks have given rise to great hopes and expectations for new applications in safety-critical areas such as automotive, healthcare or f...
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LIME for GDPR
As mentioned in our last post the GDPR is coming and companies have to get ready! There is a considerable number of people claiming that the GDPR coul...
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Research
Wasserstein Verifica...
We are proud to present our joint work with the University of Göttingen. Formal verification of neural networks is a challenging topic! In the past, ...
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Papercat Thursday 12...
Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG. Risk Assessment for ML models is of paramount impo...
Read more
Decision Boundary
State-of-the-art neural networks are vulnerable to adversarial examples. This major problem for the safe deployment of ML models arises when minor inp...
Read more
Robustness Verificat...
Two of our cats are soon going to give a talk about the current status of duality-based adversarial robustness verification. The content will strongly...
Read more
Phone
+49 (0) 30 340 65 918Skype: neurocat GmbH