An embodied AI system can actively perceive the world around them in order to gather information through sensors such as vision, process this information on different cognitive levels, both autonomously and in interaction with a human, and finally make plans or decisions based on the outcome. In the autonomous vehicle case, the internal processing consists of planning future driving actions in interaction with the surrounding world and possibly also with a driver.
Our Lead AI Scientist Hedvig Kjellström has been dedicating her academic career for researching the interface between humans and robots, observing how computer vision can help machines understand humans better in terms of what we say, how we gesture and how we move.
Hedvig Kjellström, Professor at KTH, is joining Silo AI Sweden as a Lead AI Scientist, with a focus on computer vision-driven solutions. Hedvig holds a PhD in Computer Science from KTH, with the topic of her doctoral thesis focusing on 3D reconstruction of human motion in video.
Within the past month, four Silo.AI employees completed their doctoral studies and received their PhDs. We’re celebrating the big milestone this Friday, and want to recognize their academic accomplishments with
With our CEO as one of the co-organizers, we were happy to be a part of the 5th Systemic Risk Analytics conference at the Bank of Finland, together with RiskLab
The conversation is past the point of whether or not artificial intelligence (AI) is impacting or is going to impact our everyday lives. That said, today the discussion still oftentimes
In our weekly research club we review a paper that covers some upcoming and interesting topic around AI, be it machine learning, natural language processing or computer vision related. This
At Silo.AI we have a weekly research club where we look into interesting techniques and methods within the fast-moving field of AI. Last week, I gave a presentation on Multi-agent Reinforcement
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