AI-PRISM

AI-PRISM Starts 2025 with a Publication on AI-Based Positioning on a Micro Scale

The AI-PRISM project starts off the year 2025 with a publication within the area of artificial intelligence and robotics. The now-published paper “AI-Based Positioning on a Micro Scale”* by Tomasz Kołcon, Iveta Eimontaite, Piotr Gemza, Krystian Goławski, Miron Kołodziejczyk, and Adam Wołoszczuk investigates the use of AI technologies to achieve micrometer-level positioning on semiconductor elements. […]

The Future of Human-AI Interaction in the Industrial Metaverse

We are proudly presenting the latest research conducted by Aitor Toichoa Eyam, a Human-AI Interaction Researcher at Tampere University’s FAST-Lab. Aitor’s work: “MetaStates: An Approach for Representing Human Workers’ Psychophysiological States in the Industrial Metaverse” introduces the concept of MetaStates, an innovative approach to representing human workers’ psychophysiological states in industrial simulations. This interview explains […]

PatchMixer for 3D point cloud processing impact on the AI-PRISM project by Dr Davide Boscaini

Recently researchers Davide Boscaini and Fabio Poiesi from partner Fondazione Bruno Kessler (FBK) have published the scientific paper entitled “PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding.” Their contributions are from a novel deep learning architecture to process 3D point cloud data based on MLP layers only to minimize inductive biases. […]

The AI-PRISM team published a scientific paper presenting PatchMixer for 3D point cloud processing

Researchers Davide Boscani and Fabio Poiesi from partner Fondazione Bruno Kessler (FBK) have published the scientific paper entitled “PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding”, in the Image and Vision Computing Journal, Volume 137. The publication is relevant for the AI-PRISM project, specifically for our Ambient digitalization for Human-Robot Collaboration […]

The relevance of the Adaptive Beacon Period Configurator (ABPC) optimisation mechanism for the AI-PRISM project by Dr David Todoli

Recently researchers David Todoli Ferrandis, Javier Silvestre Blanes, Victor Sempere Paya and Salvador Santonja Climent from partners ITI and the Polytechnical University of Valencia (UPV) have published the scientific paper entitled “Adaptive Beacon Period Configurator for scalable LoRaWAN downlink applications”. Their findings groundwork the development of the real-time communications for sensor and platform integration and […]

The AI-PRISM team published a scientific paper on a new optimisation mechanism to improve the usability of LPWAN networks in dynamic scenarios

Researchers David Todoli Ferrandis, Javier Silvestre Blanes, Victor Sempere Paya and Salvador Santonja Climent from partners ITI and the Polytechnical University of Valencia (UPV) published the scientific paper entitled “Adaptive Beacon Period Configurator for scalable LoRaWAN downlink applications” in the IEEE Access Journal. The publication is relevant for the AI-PRISM project, specifically for the industrial […]

AI-PRISM present at the IEEE / CVPR Computer Vision and Pattern Recognition Conference in Canada

From June 18 to 22, members from our partner Bruno Kessler Foundation (FBK) attended the Conference on Computer Vision and Pattern Recognition (CVPR), which stands as the leading yearly event for computer vision, encompassing the primary conference and multiple associated workshops. The conference was held in the Vancouver Convention Centre in Canada, gathering professionals worldwide […]

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