Topics: Computer Vision

Core technical principles for fusing sensor data with deep learning

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

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Webinar recap: Silo AI x NVIDIA webinar – Situational awareness for vessels, Case: Groke Technologies

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.

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Physical AI Systems — AI with a body

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.

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The latest advances in human-centered AI through the eyes of a professor of computer vision

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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Kuvatilaus.fi and Silo AI used computer vision

Removing backgrounds with the help of computer vision

Removing the background with an unmatched quality – How Kuvatilaus.fi and Silo AI use the latest methods in computer vision for flawless results.

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Kai Knuutila joins Silo AI to empower industrial companies with edge AI

We’re excited to get Kai Knuutila join our team as a Lead AI Solutions Strategist. Kai is a long-term digitalization and technology professional, with experience in leading teams in multiple technology areas ranging from software, hardware, semiconductors to IoT, wearables and AI. With a solid work experience of 22+ years, of which 17 spent at two technology giants Intel and Nokia, Kai is an experienced senior technology strategist and advisor.

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Professor Slawomir Nowaczyk joins Silo AI Sweden to empower Swedish companies with state-of-the-art AI

Silo AI Sweden gets a strong addition to the team as Professor Slawomir Nowaczyk joins us as a Lead AI Scientist. Slawomir is also a Professor in Machine Learning at the Center for Applied Intelligent Systems Research (CAISR), School of Information Technology, Halmstad University, Sweden, and an experienced researcher in machine learning.

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Webinar recap: Computer vision for situational awareness

Webinar recap: Computer vision for situational awareness.

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Hedvig Kjellström intro

KTH Professor Hedvig Kjellström strengthens Silo AI Sweden with her 25 years of experience in computer vision and robotics

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.

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Kudos

How Auria Biobank and Silo AI use computer vision to find new information to fight cancer

Together as part of a larger initiative, Auria Biobank and Silo AI use computer vision to analyze digital pathology images of tissue samples from one of the most common skin cancers. The goal is to find cues that would help clinicians to assess the risk of metastasis.

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