Deep learning

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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.

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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. For Magnus, Adam, and Georg,

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Deep-learning minds wanted!

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

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Zenseact Open Dataset

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  

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How safe is safe?

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?

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Better safe than sorry

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

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