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

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

Since the beginning of 2019, neurocat’s manpower has more than doubled. With all teams growing fast, we significantly expanded our office space. Luc...

Read more

The world’s leading trade show for industrial technology and AI: Hannover Messe, Germany. With 6,500 exhibitors and over 250,000 visitors, it’...

Read more

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

What is growth? The Adlershof Journal examined beliefs about growth and interviewed us about AI security and our personal growth story. After a conver...

Read more

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...

Read more

One of the biggest obstacles to the confidence-inspiring use of deep neural networks in production (like, for instance, in autonomous vehicles) are ad...

Read more

Deep neural networks have given rise to great hopes and expectations for new applications in safety-critical areas such as automotive, healthcare or f...

Read more

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...

Read more