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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.
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.
What does it take to develop self-driving car technology besides funding, technology, and talent? According to Jonas Ekmark, knowing a little about collisions doesn’t hurt. At least if you’re going to make it safe.
Volvo Cars and Zenseact set up one of the largest data centers in the Nordics to boost the use of AI.
Our software has been released and is now out there saving lives. It’s a real milestone, so Veronika asked Erik to come and discuss it.
The more radars, the better? But what about signal interference from other cars? Hear radar expert Mohammad from QamCom and Veronika discuss various sensing challenges.
Sensor fusion is crucial for safe and efficient automation. However, developing it is not exactly without challenges. Listen to Veronika and Maryam discuss merging realities.
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. For Magnus, Adam, and Georg,
Gothenburg, 23 April. Zenseact, a fast-growing AI company developing car safety software, is thrilled to announce the acceptance of four pioneering research papers to the highly esteemed IEEE/CVF Computer Vision
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 will make automation smarter, more predictive, and faster to develop – by combining different software tasks more effectively. Hear Veronika and Christoffer’s discussion.
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