Blogs – Page 2

From Data Streams to Scalable Intelligence

Real-time data pipelines enable scalable, low-latency analytics, turning continuous data streams into actionable insights for adaptive AI systems.

Introducing AI-DAPT Components: DAVE, the Pipeline Manager

DAVE is designed to simplify the way AI pipelines are created and managed.

Advancing towards the project demonstrators

How continuous testing and validation ensure reliable integration of AI-DAPT services as the platform advances toward its demonstrators.

𝐀𝐈-𝐃𝐀𝐏𝐓 𝐃𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐨𝐫 𝟏

𝐇𝐮𝐦𝐚𝐧-𝐂𝐞𝐧𝐭𝐞𝐫𝐞𝐝 𝐀𝐈 𝐟𝐨𝐫 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐞𝐝 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 Within the AI-DAPT EU Project, the Health Demonstrator MCS Datalabs in collaboration with Charité Universitätsmedizin Berlin is driving Demonstrator 1 – Personalized Medicine based on Non-Invasive Glucose Monitoring, with a strong focus on human-centred, trustworthy AI. The demonstrator addresses a critical healthcare challenge. Enabling continuous, non-invasive glucose monitoring that adapts to […]

Tuning 3D Printing with Hybrid Intelligence

In 3D printing, performance fails quietly, as warped geometry, brittle layers, inconsistent strength, or a part that passes inspection but doesn’t survive real use. The reason is deceptively simple: in Fused Filament Fabrication (FFF), mechanical quality is shaped by thermal history. Every parameter choice (nozzle temperature, bed temperature, print speed) changes how heat flows, how […]

Partner Spotlight: MCS

MCS Data Labs GmbH is a Berlin-based technology firm founded in 2013, specializing in turning complex data into actionable insights.

Hybrid AI Models in AI‑DAPT

Scientific knowledge with machine learning to deliver more reliable, interpretable, and data-efficient AI. By integrating physics-based models and data-driven learning, AI-DAPT enables robust predictions that respect domain constraints while adapting to real-world conditions.