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World Congress 2026 Europe • Jul 9, 2026 • Session details

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska , James Cha-Earley

Aboard a research vessel in the Indian Ocean, engineers bypassed satellite bandwidth limits with a far-edge AI pipeline. Discover how they processed terabytes of 8K video completely offline.

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#1 about 2 min

Volunteering on a scientific mission in the Indian Ocean

Partnering with a non-profit organization democratizes ocean knowledge by collecting and processing massive amounts of scientific data.

#2 about 4 min

Navigating the Indian Ocean on the OceanXplorer vessel

Tracking wave heights illustrates the physical challenges of conducting a continuous production hackathon aboard a swaying ship.

#3 about 4 min

Unmanned scanners, submarines, and deep ocean sensors

Various hardware systems collect geospatial sweeps, video footage, and water salinity data to digitize the ocean floor.

#4 about 5 min

Running local video inference without high speed internet

Applying a Florence 2 model locally through a Streamlit app solves the challenge of analyzing massive footage without internet bandwidth.

#5 about 7 min

Uploading thumbnail frames to automatic cloud processing pipelines

Uploading compressed thumbnails into cloud stages allows Claude Sonnet to parse images without manual format conversions.

#6 about 4 min

Querying unstructured expedition data with conversational artificial intelligence

Semantic views and AI agents translate natural language queries into actionable insights across complex scientific mission records.

#7 about 3 min

Navigating elevated security risks in the Malacca Strait

Strict security protocols guard against piracy threats while transiting dangerous maritime regions like the Malacca Strait.

#8 about 3 min

Averaging biodiversity detections across marine video frames

Averaging colony counts across multiple image frames overcomes underwater lighting limitations and improves longitudinal biodiversity tracking.

Matching moments

5:51 min

Deploying machine learning models at the edge for conservation

Sohan Maheshwar · LIVE

1:09 min

Deploying algorithms and AI models to edge production

Irina Terekhova Irina Terekhova · WWC Europe 2026

3:37 min

Discovering hardware prize uses for localized artificial intelligence

Chris Heilmann +5 · LIVE

2:26 min

Cost and latency pressures pushing AI to the edge

Moe Sani Moe Sani · WWC Europe 2026

2:00 min

Reviewing key architectural decisions for federated AI computing

Jeremy Murray Jeremy Murray · WWC Europe 2026

2:42 min

Dissecting artificial intelligence layers from compute to applications

Christian Nagel Christian Nagel +3 · WWC Europe 2026

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