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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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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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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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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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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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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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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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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We are celebrating our new entrance door design and welcome every AI-enthusiast for a chat in our constantly evolving office. If you are interested in...

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