AI TraceTrace Foundation, Inc.
Data AnalysisVerified

Reviewed and published by trentmaziarz, April 22, 2026. Discovered and drafted by our automated research pipeline.

Wacom tested a proof-of-concept system with the German Research Center for Artificial Intelligence (DFKI) that uses AI to analyze handwritten notes created on Wacom tablets, identify the meaning of text and drawings, and automatically surface relevant information from a knowledge base. This was publicly demonstrated in late 2018 and remains part of Wacom's stated vision for its digital ink platform.

Details

The system uses Wacom's WILL (Wacom Ink Layer Language) framework combined with DFKI's CoMem knowledge management system. AI classifies each pen stroke as handwritten text, a hand-drawn diagram, or a doodle, then performs named entity recognition on the text to identify dates, contacts, topics, and other entities. It then proactively retrieves and presents related information — such as meeting dates, contact details, or related documents — from a personal or enterprise knowledge graph. The proof of concept was publicly demonstrated at the Samsung Developer Conference in November 2018. As of the most recent sources, this remains a research and platform-level capability rather than a shipping end-user product.

Products affected

WILL SDK (Wacom Ink Layer Language)Semantic Ink

Sources & Evidence

Cite this record

Trace Foundation. (2026). Wacom: Wacom tested a proof-of-concept system with the German Research Center for Artificial Intelligence (DFKI) that uses AI to analyze handwritten notes created on Wacom tablets, identify the meaning of text and drawings, and automatically surface relevant information from a knowledge base. This was publicly demonstrated in late 2018 and remains part of Wacom's stated vision for its digital ink platform (data as of 2026-04-22) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/e21de264-33e5-443a-bffc-df816cf78103. Accessed September 10, 2026.

Stable link
https://www.aitrace.org/r/practice/e21de264-33e5-443a-bffc-df816cf78103
Data as of
April 22, 2026
Last verified
April 22, 2026

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