Driving data for the data-driven
Sharing data is the path to a collision-free society. Join Mina and Veronika on Deeper learning to discuss technology’s growing need for data.
Insights
Welcome to our knowledge platform, where we cover the promises, challenges, and prerequisites of developing automation, safety, AI, and software-defined vehicles.
10 results
AI, annotations, and geopolitical annoyance
Annotation is crucial in the development of autonomous driving, as is geopolitics. Hear Veronika and Kognic CEO Daniel as they explore both topics – and more.
Volvo Cars and Zenseact set up one of the largest data centers in the Nordics.
Following the release of the Zenseact Open Dataset, Zenseact researchers are elevating the dataset by adding radar data.
A lean, clean AI machine
Shorter latency, less energy consumption, less compute. Hear Veronika and Embedl CEO Hans Salomonsson discuss the secrets of developing streamlined deep-learning solutions for embedded systems.
A great sense of purpose
Whether you’re in it to build a robot or define what makes it safe, doing an industrial Ph.D. is a chance to make an impact.
Zenseact celebrates four accepted research papers at prestigious AI conference
Zenseact’s four pioneering AI research papers on car safety have been accepted to CVPR 2024, underscoring their contributions to computer vision, deep learning, and autonomous driving.
Safety in the blink of an eye
Take a moment to follow Veronika and Smart Eye CEO Martin Krantz as they explore his quest to bridge the gap between humans and machines.
Deep learning and the quest for safer automation
Deep learning will make automation smarter, more predictive, and faster to develop – by combining different software tasks more effectively. Hear Veronika and Christoffer’s discussion.
Deep-learning minds wanted!
Software powerhouse Zenseact, specializing in AI-based safety for autonomous driving and advanced driver assistance systems, announces the expansion of its deep-learning team.
Thinking fast and getting it right
A Zenseact-CERN collaboration shows great promise for technological advancements in autonomous driving.
