DHI A/S, a Denmark-based international software development and engineering company, and Silo AI, the largest private AI labs from the Nordics, collaborate to build technology that protects endangered seabirds from
InterDigital, a leading research and innovation company that develops and licenses foundational wireless and video technologies for mobile devices, networks, and services worldwide, has teamed up with Silo AI, the
Verso Vision, a leading AI-based solution provider for fall prevention and detection for healthcare, and Silo AI, one of the largest private AI labs in Europe, have teamed up to
This article builds on Silo AI CEO Peter Sarlin’s op-ed in Finland’s largest business newspaper Kauppalehti. While the artificial intelligence hype is plateauing, AI has become a common part of
The international technology group Körber focuses on the development of AI-driven visual quality control for the pharmaceutical industry. Therefore, Körber has teamed up with Silo AI, one of the largest private AI labs in Europe, to accelerate the development. Körber Digital is currently the largest company builder for manufacturing efficiency in Germany.
Together with Körber, Silo AI has developed a visual quality solution for inspection machines to control the quality of Covid19 vaccine ampoules.
Deep learning-based sensor fusion for situational awareness is a notably different approach from classic mathematical modeling. While the underlying core tasks of perception, prediction, and planning remain the same, deep
Groke Technologies is paving the way for autonomous navigation solutions in the marine industry. On June 2, 2021, we had the opportunity to learn about the future of the marine industry with Groke Technologies, a Finnish marine company. With the help of Silo AI experts and the use of NVIDIA’s products, Groke is utilizing sensor fusion technologies to achieve better situational awareness of a vessel’s surroundings.
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.
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