World Congress 2025 • Aug 20, 2025 • Session details

Focoos AI: Building the Future of Computer Vision

Struggling to run complex computer vision models on edge devices? Focoos AI slashes development time by 90% and delivers models that run 10x faster on restrictive hardware.

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#1 about 1 min

Overcoming inefficiencies in computer vision modeling

Challenges in running computationally complex models on low-power edge devices require moving beyond inefficient trial and error methods.

#2 about 1 min

Streamlining computer vision development workflows and platform tooling

A comprehensive development platform and synchronized open-source library provide end-to-end tooling spanning dataset handling through model deployment.

#3 about 1 min

Optimizing computer vision models for edge devices

Proprietary optimizations produce efficient computer vision models that increase inference speeds and reduce computational complexity while retaining accuracy.

#4 about 1 min

Deploying edge computing applications across target industries

Optimized architectures allow hardware like smartphones and drones to run accurate vision tasks for quality control and smart city applications.

#5 about 1 min

Leveraging research expertise and current funding progress

The founding scientific team utilizes secured funding to scale operations and partner with regional developers for market expansion.

Matching moments

3:21 min

Reducing cloud dependency with on-device edge AI models

Precious Osaro

Precious Osaro · World Congress 2026 Europe

1:56 min

Optimizing AI processing capabilities for edge microcontrollers

Stephan Gillich

Stephan Gillich +3 · World Congress 2024

2:42 min

Dissecting artificial intelligence layers from compute to applications

Christian Nagel

Christian Nagel +3 · World Congress 2026 Europe

3:16 min

Building collaborative hardware architectures and developer startup ecosystems

Stephan Gillich

Stephan Gillich +3 · World Congress 2024

7:00 min

Evaluating on-device data privacy, model performance, and cross-platform alternatives

Milan Todorovic · World Congress 2021

2:26 min

Cost and latency pressures pushing AI to the edge

Moe Sani

Moe Sani · World Congress 2026 Europe

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Upcoming sessions on this topic

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September 24, 2026 · 14:10–14:40

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September 24, 2026 · 11:00–11:30

Tech Leaders Stage

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Stage 2

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CTO for Applied AI and Metaverse at daenet

Andreas Erben

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

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AI ROI: The Hard Unit Economics of AI-Native Engineering

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