The AI-DAPT Platform Alpha Is Here
The AI-DAPT Alpha release delivers an integrated platform for trustworthy AI, combining data pipelines, human oversight, explainability, and hybrid AI models.
Physics-Informed Hybrid Energy Management
A physics-informed hybrid model detects and reconstructs cyberattacks on power grid data, improving resilience and operational reliability.
Governing Data Before It Governs AI
AI-powered data governance improves data quality, transparency, and compliance, enabling more trustworthy AI systems.
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.
๐๐-๐๐๐๐ ๐๐๐ฆ๐จ๐ง๐ฌ๐ญ๐ซ๐๐ญ๐จ๐ซ ๐
๐๐ฎ๐ฆ๐๐ง-๐๐๐ง๐ญ๐๐ซ๐๐ ๐๐ ๐๐จ๐ซ ๐๐๐ซ๐ฌ๐จ๐ง๐๐ฅ๐ข๐ฌ๐๐ ๐๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐ Within the AI-DAPT EU Project, the Health Demonstrator MCS Datalabs in collaboration with Charitรฉย Universitรคtsmedizin 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 doesnโt 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 AIโDAPT
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.