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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.
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.
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.
Gothenburg, 16 November. Software powerhouse Zenseact, specializing in AI-based safety for autonomous driving and advanced driver assistance systems, announces the expansion of its deep-learning team. Rooted in the vibrant, tech-savvy
Watch AI researcher Mina Alibeigi explain how her team gathered an unmatched collection of European traffic data and decided to share it with the world. See more at zod.zenseact.com
Listen to Fredrik and Veronika discuss the paramount concern of AD: safety. What does safe enough actually mean? And what safety assurances can we make?
Some of us find it hard to trust a machine to take control of something as important as driving. What if the almighty AI fails? It’s still a relatively new
How quickly can a computer make sense of what it sees without losing accuracy? And to what extent can you perform car-related AI tasks on hardware with limited computing resources?
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